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YPqwixhUMOndis6MhbmfvLBKjC8sKKIZKbJk8L11oNkCQzCgvjhyyEiQSuJcgCQSG4Mocfgc0Hkwcjal1UNgP0CBPikYqBIk9tONv4kLtBswH07vUCjEaHiFGlLf8MgXKzSgjp2HolRRccAOh0ILHz9qlGgIFkwAnzHJRjWFhlA7ROwINyB5HFj59PRZHFor6voq7l23EPNRwdWhgawqbivLSjRA4htEYUFkjESu67icTg5S0aW1sOkCiIysfJ9UnIWevOOLGpepcBxy1wEhd2WI3AZg7sr9WBmHWyasxMcvY%2FiOmsLtHSWNUWEGk9hScMPShasUA1AcHOtRZlqMeQ0OzYS9vQvYUjOLrzP07BUAFikcJNMi7gIxEw4pL1G54TcmmmoAQ5s7TGWErJZ2Io4yQ0ljRYhL8H5e62oDtLF8aDpnIvZ5R3GWJyAugdiiJW9hQAVTsnCBHhwu7rkBlBX6r3b7ejEY0k5GGeyKv66v%2B6dg7mcJTrWHbtMywbedYqCQ0FPwoytmSWsL8WTtChZCKKzEF7vP6De4x2BJkkniMgSdWhbeBSLtJZR9CTHetK1xb34AYIJ37OegYIoPVbXgJ%2FqDQK%2BbfCtxQRVKQu77WzOoM6SGL7MaZwCGJVk46aImai9fmam%2BWpHG%2B0BtQPWUgZ7RIAlPq6lkECUhZQ2gqWkMYKcYMYaIc4gYCDFHYa2d1nzp3%2BJ1eCBay8IYZ0wQRKGAqvCuZ%2FUgbQPyllosq%2BXtfKIZOzmeJqRazpmmoP%2F76YfkjzV2NlXTDSBYB04SVlNQsFTbGPk1t%2FI4Jktu0XSgifO2ozFOiwd%2F0SssJDn0dn4xqk4GDTTKX73%2FwQyBLdqgJ%2BWx6AQaba3BA9CKEzjtQYIfAsiYamapq80LAamYjinlKXUkxdpIDk0puXUEYzSalfRibAeDAKpNiqQ0FTwoxuGYzRnisyTotdVTclis1LHRQCy%2FqqL8oUaQzWRxilq5Mi0IJGtMY02cGLD69vGjkj3p6pGePKI8bkBv5evq8SjjyU04vJR2cQXQwSJyoinDsUJHCQ50jrFTT7yRdbdYQMB3MYCb6uBzJ9ewhXYPAIZSXfeEQBZZ3GPN3Nbhh%2FwkvAJLXnQMdi5NYYZ5GHE400GS5rXkOZSQsdZgIbzRnF9ueLnsfQ47wHAsirITnTlkCcuWWIUhJSbpM3wWhXNHvt2xUsKKMpdBSbJnBMcihkoDqAd1Zml%2FR4yrzow1Q2A5G%2Bkzo%2FRhRxQS2lCSDRV8LlYLBOOoo1bF4jwJAwKMK1tWLHlu9i0j4Ig8qVm6wE1DxXwAwQwsaBWUg2pOOol2dHxyt6npwJEdLDDVYyRc2D0HbcbLUJQj8gPevQBUBOUHXPrsAPBERICpnYESeu2OHotpXQxRGlCCtLdIsu23MhZVEoJg8Qumj%2FUMMc34IBqTKLDTp76WzL%2FdMjCxK7MjhiGjeYAC%2Fkj%2FjY%2FRde7hpSM1xChrog6yZ7OWTuD56xBJnGFE%2BpT2ElSyCnJcwVzCjkqeNLfMEJqKW0G7OFIp0G%2B9mh50I9o8k1tpCY0xYqFNIALgIfc2me4n1bmJnRZ89oepgLPT0NTMLNZsvSCZAc3TXaNB07vail36%2FdBySis4m9%2FDR8izaLJW6bWCkVgm5T%2Bius3ZXq4xI%2BGnbveLbdRwF2mNtsrE0JjYc1AXknCOrLSu7Te%2Fr4dPYMCl5qtiHNTn%2BTPbh1jCBHH%2BdMJNhwNgs3nT%2BOhQoQ0vYif56BMG6WowAcHR3DjQolxLzyVekHj00PBAaW7IIAF1EF%2BuRIWyXjQMAs2chdpaKPNaB%2BkSezYt0%2BCA04sOg5vx8Fr7Ofa9sUv87h7SLAUFSzbetCCZ9pmyLt6l6%2FTzoA1%2FZBG9bIUVHLAbi%2FkdBFgYGyGwRQGBpkqCEg2ah9UD6EedEcEL3j4y0BQQCiExEnocA3SZboh%2Bepgd3YsOkHskZwPuQ5OoyA0fTA5AXrHcUOQF%2BzkJHIA7PwCDk1gGVmGUZSSoPhNf%2BTklauz98QofOlCIQ%2FtCD4dosHYPqtPCXB3agggQQIqQJsSkB%2Bqn0rkQ1toJjON%2FOtCIB9RYv3PqRA4C4U68ZMlZn6BdgEvi2ziU%2BTQ6NIw3ej%2BAtDwMGEZk7e2IjxUWKdAxyaw9OCwSmeADTPPleyk6UhGDNXQb%2B%2BW6Uk4q6F7%2Frg6WVTo82IoCxSIsFDrav4EPHphD3u4hR53WKVvYZUwNCCeM4PMBWzK%2BEfIthZOkuAwPo5C5jgoZgn6dUdvx5rIDmd58cXXdKNfw3l%2BwM2UjgrDJeQHhbD7HW2QDoZMCujgIUkk5Fg8VCsdyjOtnGRx8wgKRPZN5dR0zPUyfGZFVihbFRniXZFOZGKPnEQzU3AnD1KfR6weHW2XS6KbPJxUkOTZsAB9vTVp3Le1F8q5l%2BDMcLiIq78jxAImD2pGFw0VHfRatScGlK6SMu8leTmhUSMy8Uhdd6xBiH3Gdman4tjQGLboJfqz6fL2WKHTmrfsKZRYX6BTDjDldKMosaSTLdQS7oDisJNqAUhw1PfTlnacCO8vl8706Km1FROgLDmudzxg%2BEWTiArtHgLsRrAXYWdB0NmToNCJdKm0KWycZQqb%2BMw76Qy29iQ5up%2FX7oyw8QZ75kP5F6iJAJz6KCmqxz8fEa%2FxnsMYcIO%2FvEkGRuMckhr4rIeLrKaXnmIzlNLxbFspOphkcnJdnz%2FChp%2FVlpj2P7jJQmQRwGnltkTV5dbF9fE3%2FfxoSqTROgq9wFUlbuYzYcasE0ouzBo%2BdDCDzxKAfhbAZYxQiHrLzV2iVexnDX%2FQnT1fsT%2Fxuhu1ui5qIytgbGmRoQkeQooO8eJNNZsf0iALur8QxZFH0nCMnjerYQqG1pIfjyVZWxhVRznmmfLG00BcBWJE6hzQWRyFknuJnXuk8A5FRDCulwrWASSNoBtR%2BCtGdkPwYN2o7DOw%2FVGlCZPusRBFXODQdUM5zeHDIVuAJBLqbO%2Ff9Qua%2BpDqEPk230Sob9lEZ8BHiCorjVghuI0lI4JDgHGRDD%2FprQ84B1pVGkIpVUAHCG%2Biz3Bn3qm2AVrYcYWhock4jso5%2BJ7HfHVj4WMIQdGctq3psBCVVzupQOEioBGA2Bk%2BUILT7%2BVoX5mdxxA5fS42gISQVi%2FHTzrgMxu0fY6hE1ocUwwbsbWcezrY2n6S8%2F6cxXkOH4prpmPuFoikTzY7T85C4T2XYlbxLglSv2uLCgFv8Quk%2FwdesUdWPeHYIH0R729JIisN9Apdd4eB10aqwXrPt%2BSu9mA8k8n1sjMwnfsfF2j3jMUzXepSHmZ%2FBfqXvzgUNQQWOXO8YEuFBh4QTYCkOAPxywpYu1VxiDyJmKVcmJPGWk%2Fgc3Pov02StyYDahwmzw3E1gYC9wkupyWfDqDSUMpCTH5e5N8B%2F%2FlHiMuIkTNw4USHrJU67bjXGqNav6PBuQSoqTxc8avHoGmvqNtXzIaoyMIQIiiUHIM64cXieouplhNYln7qgc4wBVAYR104kO%2BCvKqsg4yIUlFNThVUAKZxZt1XA34h3TCUUiXVkZ0w8Hh2R0Z5L0b4LZvPd%2Fp1gi%2F07h8qfwHrByuSxglc9cI4QIg2oqvC%2Fqm0i7tjPLTgDhoWTAKDO2ONW5oe%2B%2FeKB9vZB8K6C25yCZ9RFVMnb6NRdRjyVK57CHHSkJBfnM2%2Fj4ODUwRkqrtBBCrDsDpt8jhZdXoy%2F1BCqw3sSGhgGGy0a5Jw6BP%2FTExoCmNFYjZl248A0osgPyGEmRA%2BfAsqPVaNAfytu0vuQJ7rk3J4kTDTR2AlCHJ5cls26opZM4w3jMULh2YXKpcqGBtuleAlOZnaZGbD6DHzMd6i2oFeJ8z9XYmalg1Szd%2FocZDc1C7Y6vcALJz2lYnTXiWEr2wawtoR4g3jvWUU2Ngjd1cewtFzEvM1NiHZPeLlIXFbBPawxNgMwwAlyNSuGF3zizVeOoC9bag1qRAQKQE%2FEZBWC2J8mnXAN2aTBboZ7HewnObE8CwROudZHmUM5oZ%2FUgd%2FJZQK8lvAm43uDRAbyW8gZ%2BZGq0EVerVGUKUSm%2FIdn8AQHdR4m7bue88WBwft9mSCeMOt1ncBwziOmJYI2ZR7ewNMPiCugmSsE4EyQ%2BQATJG6qORMGd4snEzc6B4shPIo4G1T7PgSm8PY5eUkPdF8JZ0VBtadbHXoJgnEhZQaODPj2gpODKJY5Yp4DOsLBFxWbvXN755KWylJm%2BoOd4zEL9Hpubuy2gyyfxh8oEfFutnYWdfB8PdESLWYvSqbElP9qo3u6KTmkhoacDauMNNjj0oy40DFV7Ql0aZj77xfGl7TJNHnIwgqOkenruYYNo6h724%2BzUQ7%2BvkCpZB%2BpGA562hYQiDxHVWOq0oDQl%2FQsoiY%2BcuI7iWq%2FZIBtHcXJ7kks%2Bh2fCNUPA82BzjnqktNts%2BRLdk1VSu%2BtqEn7QZCCsvEqk6FkfiOYkrsw092J8jsfIuEKypNjLxrKA9kiA19mxBD2suxQKCzwXGws7kEJvlhUiV9tArLIdZW0IORcxEzdzKmjtFhsjKy%2F44XYXdI5noQoRcvjZ1RMPACRqYg2V1%2BOwOepcOknRLLFdYgTkT5UApt%2FJhLM3jeFYprZV%2BZow2g8fP%2BU68hkKFWJj2yBbKqsrp25xkZX1DAjUw52IMYWaOhab8Kp05VrdNftqwRrymWF4OQSjbdfzmRZirK8FMJELEgER2PHjEAN9pGfLhCUiTJFbd5LBkOBMaxLr%2FA1SY9dXFz4RjzoU9ExfJCmx%2FI9FKEGT3n2cmzl2X42L3Jh%2BAbQq6sA%2BSs1kitoa4TAYgKHaoybHUDJ51oETdeI%2F9ThSmjWGkyLi5QAGWhL0BG1UsTyRGRJOldKBrYJeB8ljLJHfATWTEQBXBDnQexOHTB%2BUn44zExFE4vLytcu5NwpWrUxO%2F0ZICUGM7hGABXym0V6ZvDST0E370St9MIWQOTWngeoQHUTdCJUP04spMBMS8LSker9cReVQkULFDIZDFPrhTzBl6sed9wcZQTbL%2BBDqMyaN3RJPh%2Fanbx%2BIv%2BqgQdAa3M9Z5JmvYlh4qop%2BHo1F1W5gbOE9YKLgAnWytXElU4G8GtW47lhgFE6gaSs%2Bgs37sFvi0PPVvA5dnCBgILTwoKd%2F%2BDoL9F6inlM7H4rOTzD79KJgKlZO%2FZgt22UsKhrAaXU5ZcLrAglTVKJEmNJvORGN1vqrcfSMizfpsgbIe9zno%2BgBoKVXgIL%2FVI8dB1O5o%2FR3Suez%2FgD7M781ShjKpIIORM%2FnxG%2BjjhhgPwsn2IoXsPGPqYHXA63zJ07M2GPEykQwJBYLK808qYxuIew4frk52nhCsnCYmXiR6CuapvE1IwRB4%2FQftDbEn%2BAucIr1oxrLabRj9q4ae0%2BfXkHnteAJwXRbVkR0mctVSwEbqhJiMSZUp9DNbEDMmjX22m3ABpkrPQQTP3S1sib5pD2VRKRd%2BeNAjLYyT0hGrdjWJZy24OYXRoWQAIhGBZRxuBFMjjZQhpgrWo8SiFYbojcHO8V5DyscJpLTHyx9Fimassyo5U6WNtquUMYgccaHY5amgR3PQzq3ToNM5ABnoB9kuxsebqmYZm0R9qxJbFXCQ1UPyFIbxoUraTJFDpCk0Wk9GaYJKz%2F6oHwEP0Q14lMtlddQsOAU9zlYdMVHiT7RQP3XCmWYDcHCGbVRHGnHuwzScA0BaSBOGkz3lM8CArjrBsyEoV6Ys4qgDK3ykQQPZ3hCRGNXQTNNXbEb6tDiTDLKOyMzRhCFT%2BmAUmiYbV3YQVqFVp9dorv%2BTsLeCykS2b5yyu8AV7IS9cxcL8z4Kfwp%2BxJyYLv1OsxQCZwTB4a8BZ%2F5EdxTBJthApqyfd9u3ifr%2FWILTqq5VqgwMT9SOxbSGWLQJUUWCVi4k9tho9nEsbUh7U6NUsLmkYFXOhZ0kmamaJLRNJzSj%2Fqn4Mso6zb6iLLBXoaZ6AqeWCjHQm2lztnejYYM2eubnpBdKVLORZhudH3JF1waBJKA9%2BW8EhMj3Kzf0L4vi4k6RoHh3Z5YgmSZmk6ns4fjScjAoL8GoOECgqgYEBYUGFVO4FUv4%2FYtowhEmTs0vrvlD%2FCrisnoBNDAcUi%2FteY7OctFlmARQzjOItrrlKuPO6E2Ox93L4O%2F4DcgV%2FdZ7qR3VBwVQxP1GCieA4RIpweYJ5FoYrHxqRBdJjnqbsikA2Ictbb8vE1GYIo9dacK0REgDX4smy6GAkxlH1yCGGsk%2BtgiDhNKuKu3yNrMdxafmKTF632F8Vx4BNK57GvlFisrkjN9WDAtjsWA0ENT2e2nETUb%2Fn7qwhvGnrHuf5bX6Vh%2Fn3xffU3PeHdR%2BFA92i6ufT3AlyAREoNDh6chiMWTvjKjHDeRhOa9YkOQRq1vQXEMppAQVwHCuIcV2g5rBn6GmZZpTR7vnSD6ZmhdSl176gqKTXu5E%2BYbfL0adwNtHP7dT7t7b46DVZIkzaRJOM%2BS6KcrzYVg%2BT3wSRFRQashjfU18NutrKa%2F7PXbtuJvpIjbgPeqd%2BpjmRw6YKpnANFSQcpzTZgpSNJ6J7uiagAbir%2F8tNXJ%2FOsOnRh6iuIexxrmkIneAgz8QoLmiaJ8sLQrELVK2yn3wOHp57BAZJhDZjTBzyoRAuuZ4eoxHruY1pSb7qq79cIeAdOwin4GdgMeIMHeG%2BFZWYaiUQQyC5b50zKjYw97dFjAeY2I4Bnl105Iku1y0lMA1ZHolLx19uZnRdILcXKlZGQx%2FGdEqSsMRU1BIrFqRcV1qQOOHyxOLXEGcbRtAEsuAC2V4K3p5mFJ22IDWaEkk9ttf5Izb2LkD1MnrSwztXmmD%2FQi%2FEmVEFBfiKGmftsPwVaIoZanlKndMZsIBOskFYpDOq3QUs9aSbAAtL5Dbokus2G4%2FasthNMK5UQKCOhU97oaOYNGsTah%2BjfCKsZnTRn5TbhFX8ghg8CBYt%2FBjeYYYUrtUZ5jVij%2Fop7V5SsbA4mYTOwZ46hqdpbB6Qvq3AS2HHNkC15pTDIcDNGsMPXaBidXYPHc6PJAkRh29Vx8KcgX46LoUQBhRM%2B3SW6Opll%2FwgxxsPgKJKzr5QCmwkUxNbeg6Wj34SUnEzOemSuvS2OetRCO8Tyy%2BQbSKVJcqkia%2BGvDefFwMOmgnD7h81TUtMn%2BmRpyJJ349HhAnoWFTejhpYTL9G8N2nVg1qkXBeoS9Nw2fB27t7trm7d%2FQK7Cr4uoCeOQ7%2F8JfKT77KiDzLImESHw%2F0wf73QeHu74hxv7uihi4fTX%2BXEwAyQG3264dwv17aJ5N335Vt9sdrAXhPOAv8JFvzqyYXwfx8WYJaef1gMl98JRFyl5Mv5Uo%2FoVH5ww5OzLFsiTPDns7fS6EURSSWd%2F92BxMYQ8sBaH%2Bj%2BwthQPdVgDGpTfi%2BJQIWMD8xKqULliRH01rTeyF8x8q%2FGBEEEBrAJMPf25UQwi0b8tmqRXY7kIvNkzrkvRWLnxoGYEJsz8u4oOyMp8cHyaybb1HdMCaLApUE%2B%2F7xLIZGP6H9xuSEXp1zLIdjk5nBaMuV%2FyTDRRP8Y2ww5RO6d2D94o%2B6ucWIqUAvgHIHXhZsmDhjVLczmZ3ca0Cb3PpKwt2UtHVQ0BgFJsqqTsnzZPlKahRUkEu4qmkJt%2Bkqdae76ViWe3STan69yaF9%2BfESD2lcQshLHWVu4ovItXxO69bqC5p1nZLvI8NdQB9s9UNaJGlQ5mG947ipdDA0eTIw%2FA1zEdjWquIsQXXGIVEH0thC5M%2BW9pZe7IhAVnPJkYCCXN5a32HjN6nsvokEqRS44tGIs7s2LVTvcrHAF%2BRVmI8L4HUYk4x%2B67AxSMJKqCg8zrGOgvK9kNMdDrNiUtSWuHFpC8%2Fp5qIQrEo%2FH%2B1l%2F0cAwQ2nKmpWxKcMIuHY44Y6DlkpO48tRuUGBWT0FyHwSKO72Ud%2BtJUfdaZ4CWNijzZtlRa8%2BCkmO%2FEwHYfPZFU%2FhzjFWH7vnzHRMo%2BaF9u8qHSAiEkA2HjoNQPEwHsDKOt6hOoK3Ce%2F%2B%2F9boMWDa44I6FrQhdgS7OnNaSzwxWKZMcyHi6LN4WC6sSj0qm2PSOGBTvDs%2FGWJS6SwEN%2FULwpb4LQo9fYjUfSXRwZkynUazlSpvX9e%2BG2zor8l%2BYaMxSEomDdLHGcD6YVQPegTaA74H8%2BV4WvJkFUrjMLGLlvSZQWvi8%2FQA7yzQ8GPno%2F%2F5SJHRP%2FOqKObPCo81s%2F%2B6WgLqykYpGAgQZhVDEBPXWgU%2FWzFZjKUhSFInufPRiMAUULC6T11yL45ZrRoB4DzOyJShKXaAJIBS9wzLYIoCEcJKQW8GVCx4fihqJ6mshBUXSw3wWVj3grrHQlGNGhIDNNzsxQ3M%2BGWn6ASobIWC%2BLbYOC6UpahVO13Zs2zOzZC8z7FmA05JhUGyBsF4tsG0drcggIFzgg%2Fkpf3%2BCnAXKiMgIE8Jk%2FMhpkc8DUJEUzDSnWlQFme3d0sHZDrg7LavtsEX3cHwjCYA17pMTfx8Ajw9hHscN67hyo%2BRJQ4458RmPywXykkVcW688oVUrQhahpPRvTWPnuI0B%2BSkQu7dCyvLRyFYlC1LG1gRCIvn3rwQeINzZQC2KXq31FaR9UmVV2QeGVqBHjmE%2BVMd3b1fhCynD0pQNhCG6%2FWCDbKPyE7NRQzL3BzQAJ0g09aUzcQA6mUp9iZFK6Sbp%2FYbHjo%2B%2B7%2FWj8S4YNa%2BZdqAw1hDrKWFXv9%2BzaXpf8ZTDSbiqsxnwN%2FCzK5tPkOr4tRh2kY3Bn9JtalbIOI4b3F7F1vPQMfoDcdxMS8CW9m%2FNCW%2FHILTUVWQIPiD0j1A6bo8vsv6P1hCESl2abrSJWDrq5sSzUpwoxaCU9FtJyYH4QFMxDBpkkBR6kn0LMPO%2B5EJ7Z6bCiRoPedRZ%2FP0SSdii7ZnPAtVwwHUidcdyspwncz5uq6vvm4IEDbJVLUFCn%2FLvIHfooUBTkFO130FC7CmmcrKdgDJcid9mvVzsDSibOoXtIf9k6ABle3PmIxejodc4aob0QKS432srrCMndbfD454q52V01G4q913mC5HOsTzWF4h2No1av1VbcUgWAqyoZl%2B11PoFYnNv2HwAODeNRkHj%2B8SF1fcvVBu6MrehHAZK1Gm69ICcTKizykHgGFx7QdowTVAsYEF2tVc0Z6wLryz2FI1sc5By2znJAAmINndoJiB4sfPdPrTC8RnkW7KRCwxC6YvXg5ahMlQuMpoCSXjOlBy0Kij%2BbsCYPbGp8BdCBiLmLSAkEQRaieWo1SYvZIKJGj9Ur%2FeWHjiB7SOVdqMAVmpBvfRiebsFjger7DC%2B8kRFGtNrTrnnGD2GAJb8rQCWkUPYHhwXsjNBSkE6lGWUj5QNhK0DMNM2l%2BkXRZ0KLZaGsFSIdQz%2FHXDxf3%2FTE30%2BDgBKWGWdxElyLccJfEpjsnszECNoDGZpdwdRgCixeg9L4EPhH%2BRptvRMVRaahu4cySjS3P5wxAUCPkmn%2BrhyASpmiTaiDeggaIxYBmtLZDDhiWIJaBgzfCsAGUF1Q1SFZYyXDt9skCaxJsxK2Ms65dmdp5WAZyxik%2FzbrTQk5KmgxCg%2Ff45L0jywebOWUYFJQAJia7XzCV0x89rpp%2Ff3AVWhSPyTanqmik2SkD8A3Ml4NhIGLAjBXtPShwKYfi2eXtrDuKLk4QlSyTw1ftXgwqA2jUuopDl%2B5tfUWZNwBpEPXghzbBggYCw%2Fdhy0ntds2yeHCDKkF%2FYxQjNIL%2FF%2F37jLPHCKBO9ibwYCmuxImIo0ijV2Wbg3kSN2psoe8IsABv3RNFaF9uMyCtCYtqcD%2BqNOhwMlfARQUdJ2tUX%2BMNJqOwIciWalZsmEjt07tfa8ma4cji9sqz%2BQ9hWfmMoKEbIHPOQORbhQRHIsrTYlnVTNvcq1imqmmPDdVDkJgRcTgB8Sb6epCQVmFZe%2BjGDiNJQLWnfx%2BdrTKYjm0G8yH0ZAGMWzEJhUEQ4Maimgf%2Fbkvo8PLVBsZl152y5S8%2BHRDfZIMCbYZ1WDp4yrdchOJw8k6R%2B%2F2pHmydK4NIK2PHdFPHtoLmHxRDwLFb7eB%2BM4zNZcB9NrAgjVyzLM7xyYSY13ykWfIEEd2n5%2FiYp3ZdrCf7fL%2Ben%2BsIJu2W7E30MrAgZBD1rAAbZHPgeAMtKCg3NpSpYQUDWJu9bT3V7tOKv%2BNRiJc8JAKqqgCA%2FPNRBR7ChpiEulyQApMK1AyqcWnpSOmYh6yLiWkGJ2mklCSPIqN7UypWj3dGi5MvsHQ87MrB4VFgypJaFriaHivwcHIpmyi5LhNqtem4q0n8awM19Qk8BOS0EsqGscuuydYsIGsbT5GHnERUiMpKJl4ON7qjB4fEqlGN%2FhCky89232UQCiaeWpDYCJINXjT6xl4Gc7DxRCtgV0i1ma4RgWLsNtnEBRQFqZggCLiuyEydmFd7WlogpkCw5G1x4ft2psm3KAREwVwr1Gzl6RT7FDAqpVal34ewVm3VH4qn5mjGj%2BbYL1NgfLNeXDwtmYSpwzbruDKpTjOdgiIHDVQSb5%2FzBgSMbHLkxWWgghIh9QTFSDILixVwg0Eg1puooBiHAt7DzwJ7m8i8%2Fi%2BjHvKf0QDnnHVkVTIqMvIQImOrzCJwhSR7qYB5gSwL6aWL9hERHCZc4G2%2BJrpgHNB8eCCmcIWIQ6rSdyPCyftXkDlErUkHafHRlkOIjxGbAktz75bnh50dU7YHk%2BMz7wwstg6RFZb%2BTZuSOx1qqP5C66c0mptQmzIC2dlpte7vZrauAMm%2F7RfBYkGtXWGiaWTtwvAQiq2oD4YixPLXE2khB2FRaNRDTk%2B9sZ6K74Ia9VntCpN4BhJGJMT4Z5c5FhSepRCRWmBXqx%2BwhVZC4me4saDs2iNqXMuCl6iAZflH8fscC1sTsy4PHeC%2BXYuqMBMUun5YezKbRKmEPwuK%2BCLzijPEQgfhahQswBBLfg%2FGBgBiI4QwAqzJkkyYAWtjzSg2ILgMAgqxYfwERRo3zruBL9WOryUArSD8sQOcD7fvIODJxKFS615KFPsb68USBEPPj1orNzFY2xoTtNBVTyzBhPbhFH0PI5AtlJBl2aSgNPYzxYLw7XTDBDinmVoENwiGzmngrMo8OmnRP0Z0i0Zrln9DDFcnmOoBZjABaQIbPOJYZGqX%2BRCMlDDbElcjaROLDoualmUIQ88Kekk3iM4OQrADcxi3rJguS4MOIBIgKgXrjd1WkbCdqxJk%2F4efRIFsavZA7KvvJQqp3Iid5Z0NFc5aiMRzGN3vrpBzaMy4JYde3wr96PjN90AYOIbyp6T4zj8LoE66OGcX1Ef4Z3KoWLAUF4BTg7ug%2FAbkG5UNQXAMkQezujSHeir2uTThgd3gpyzDrbnEdDRH2W7U6PeRvBX1ZFMP5RM%2BZu6UUZZD8hDPHldVWntTCNk7To8IeOW9yn2wx0gmurwqC60AOde4r3ETi5pVMSDK8wxhoGAoEX9NLWHIR33VbrbMveii2jAJlrxwytTHbWNu8Y4N8vCCyZjAX%2FpcsfwXbLze2%2BD%2Bu33OGBoJyAAL3jn3RuEcdp5If8O%2Ba4NKWvxOTyDltG0IWoHhwVGe7dKkCWFT%2B%2Btm%2BhaBCikRUUMrMhYKZJKYoVuv%2FbsJzO8DwfVIInQq3g3BYypiz8baogH3r3GwqCwFtZnz4xMjAVOYnyOi5HWbFA8n0qz1OjSpHWFzpQOpvkNETZBGpxN8ybhtqV%2FDMUxd9uFZmBfKXMCn%2FSqkWJyKPnT6lq%2B4zBZni6fYRByJn6OK%2BOgPBGRAJluwGSk4wxjOOzyce%2FPKODwRlsgrVkdcsEiYrqYdXo0Er2GXi2GQZd0tNJT6c9pK1EEJG1zgDJBoTVuCXGAU8BKTvCO%2FcEQ1Wjk3Zzuy90JX4m3O5IlxVFhYkSUwuQB2up7jhvkm%2BbddRQu5F9s0XftGEJ9JSuSk%2BZachCbdU45fEqbugzTIUokwoAKvpUQF%2FCvLbWW5BNQFqFkJg2f30E%2F48StNe5QwBg8zz3YAJ82FZoXBxXSv4QDooDo79NixyglO9AembuBcx5Re3CwOKTHebOPhkmFC7wNaWtoBhFuV4AkEuJ0J%2B1pT0tLkvFVZaNzfhs%2FKd3%2BA9YsImlO4XK4vpCo%2FelHQi%2F9gkFg07xxnuXLt21unCIpDV%2BbbRxb7FC6nWYTsMFF8%2B1LUg4JFjVt3vqbuhHmDKbgQ4e%2BRGizRiO8ky05LQGMdL2IKLSNar0kNG7lHJMaXr5mLdG3nykgj6vB%2FKVijd1ARWkFEf3yiUw1v%2FWaQivVUpIDdSNrrKbjO5NPnxz6qTTGgYg03HgPhDrCFyYZTi3XQw3HXCva39mpLNFtz8AiEhxAJHpWX13gCTAwgm9YTvMeiqetdNQv6IU0hH0G%2BZManTqDLPjyrOse7WiiwOJCG%2BJ0pZYULhN8NILulmYYvmVcV2MjAfA39sGKqGdjpiPo86fecg65UPyXDIAOyOkCx5NQsLeD4gGVjTVDwOHWkbbBW0GeNjDkcSOn2Nq4cEssP54t9D749A7M1AIOBl0Fi0sSO5v3P7LCBrM6ZwFY6kp2FX6AcbGUdybnfChHPyu6WlRZ2Fwv9YM0RMI7kISRgR8HpQSJJOyTfXj%2F6gQKuihPtiUtlCQVPohUgzfezTg8o1b3n9pNZeco1QucaoXe40Fa5JYhqdTspFmxGtW9h5ezLFZs3j%2FN46f%2BS2rjYNC2JySXrnSAFhvAkz9a5L3pza8eYKHNoPrvBRESpxYPJdKVUxBE39nJ1chrAFpy4MMkf0qKgYALctGg1DQI1kIymyeS2AJNT4X240d3IFQb%2F0jQbaHJ2YRK8A%2Bls6WMhWmpCXYG5jqapGs5%2FeOJErxi2%2F2KWVHiPellTgh%2FfNl%2F2KYPKb7DUcAg%2BmCOPQFCiU9Mq%2FWLcU1xxC8aLePFZZlE%2BPCLzf7ey46INWRw2kcXySR9FDgByXzfxiNKwDFbUSMMhALPFSedyjEVM5442GZ4hTrsAEvZxIieSHGSgkwFh%2FnFNdrrFD4tBH4Il7fW6ur4J8Xaz7RW9jgtuPEXQsYk7gcMs2neu3zJwTyUerHKSh1iTBkj2YJh1SSOZL5pLuQbFFAvyO4k1Hxg2h99MTC6cTUkbONQIAnEfGsGkNFWRbuRyyaEZInM5pij73EA9rPIUfU4XoqQpHT9THZkW%2BoKFLvpyvTBMM69tN1Ydwv1LIEhHsC%2BueVG%2Bw%2BkyCPsvV3erRikcscHjZCkccx6VrBkBRusTDDd8847GA7p2Ucy0y0HdSRN6YIBciYa4vuXcAZbQAuSEmzw%2BH%2FAuOx%2BaH%2BtBL88H57D0MsqyiZxhOEQkF%2F8DR1d2hSPMj%2FsNOa5rxcUnBgH8ictv2J%2Bcb4BA4v3MCShdZ2vtK30vAwkobnEWh7rsSyhmos3WC93Gn9C4nnAd%2FPjMMtQfyDNZsOPd6XcAsnBE%2FmRHtHEyJMzJfZFLE9OvQa0i9kUmToJ0ZxknTgdl%2FXPV8xoh0K7wNHHsnBdvFH3sv52lU7UFteseLG%2FVanIvcwycVA7%2BBE1Ulyb20BvwUWZcMTKhaCcmY3ROpvonVMV4N7yBXTL7IDtHzQ4CCcqF66LjF3xUqgErKzolLyCG6Kb7irP%2FMVTCCwGRxfrPGpMMGvPLgJ881PHMNMIO09T5ig7AzZTX%2F5PLlwnJLDAPfuHynSGhV4tPqR3gJ4kg4c06c%2FF1AcjGytKm2Yb5jwMotF7vro4YDLWlnMIpmPg36NgAZsGA0W1spfLSue4xxat0Gdwd0lqDBOgIaMANykwwDKejt5YaNtJYIkrSgu0KjIg0pznY0SCd1qlC6R19g97UrWDoYJGlrvCE05J%2F5wkjpkre727p5PTRX5FGrSBIfJqhJE%2FIS876PaHFkx9pGTH3oaY3jJRvLX9Iy3Edoar7cFvJqyUlOhAEiOSAyYgVEGkzHdug%2BoRHIEOXAExMiTSKU9A6nmRC8mp8iYhwWdP2U%2F5EkFAdPrZw03YA3gSyNUtMZeh7dDCu8pF5x0VORCTgKp07ehy7NZqKTpIC4UJJ89lnboyAfy5OyXzXtuDRbtAFjZRSyGFTpFrXwkpjSLIQIG3N0Vj4BtzK3wdlkBJrO18MNsgseR4BysJilI0wI6ZahLhBFA0XBmV8d4LUzEcNVb0xbLjLTETYN8OEVqNxkt10W614dd1FlFFVTIgB7%2FBQQp1sWlNolpIu4ekxUTBV7NmxOFKEBmmN%2BnA7pvF78%2FRII5ZHA09OAiE%2F66MF6HQ%2BqVEJCHxwymukkNvzqHEh52dULPbVasfQMgTDyBZzx4007YiKdBuUauQOt27Gmy8ISclPmEUCIcuLbkb1mzQSqIa3iE0PJh7UMYQbkpe%2BhXjTJKdldyt2mVPwywoODGJtBV1lJTgMsuSQBlDMwhEKIfrvsxGQjHPCEfNfMAY2oxvyKcKPUbQySkKG6tj9AQyEW3Q5rpaDJ5Sns9ScLKeizPRbvWYAw4bXkrZdmB7CQopCH8NAmqbuciZChHN8lVGaDbCnmddnqO1PQ4ieMYfcSiBE5zzMz%2BJV%2F4eyzrzTEShvqSGzgWimkNxLvUj86iAwcZuIkqdB0VaIB7wncLRmzHkiUQpPBIXbDDLHBlq7vp9xwuC9AiNkIptAYlG7Biyuk8ILdynuUM1cHWJgeB%2BK3wBP%2FineogxkvBNNQ4AkW0hvpBOQGFfeptF2YTR75MexYDUy7Q%2F9uocGsx41O4IZhViw%2F2FvAEuGO5g2kyXBUijAggWM08bRhXg5ijgMwDJy40QeY%2FcQpUDZiIzmvskQpO5G1zyGZA8WByjIQU4jRoFJt56behxtHUUE%2Fom7Rj2psYXGmq3llVOCgGYKNMo4pzwntITtapDqjvQtqpjaJwjHmDzSVGLxMt12gEXAdLi%2FcaHSM3FPRGRf7dB7YC%2BcD2ho6oL2zGDCkjlf%2FDFoQVl8GS%2F56wur3rdV6ggtzZW60MRB3g%2BU1W8o8cvqIpMkctiGVMzXUFI7FacFLrgtdz4mTEr4aRAaQ2AFQaNeG7GX0yOJgMRYFziXdJf24kg%2FgBQIZMG%2FYcPEllRTVNoDYR6oSJ8wQNLuihfw81UpiKPm714bZX1KYjcXJdfclCUOOpvTxr9AAJevTY4HK%2FG7F3mUc3GOAKqh60zM0v34v%2BELyhJZqhkaMA8UMMOU90f8RKEJFj7EqepBVwsRiLbwMo1J2zrE2UYJnsgIAscDmjPjnzI8a719Wxp757wqmSJBjXowhc46QN4RwKIxqEE6E5218OeK7RfcpGjWG1jD7qND%2B%2FGTk6M56Ig4yMsU6LUW1EWE%2BfIYycVV1thldSlbP6ltdC01y3KUfkobkt2q01YYMmxpKRvh1Z48uNKzP%2FIoRIZ%2FF6buOymSnW8gICitpJjKWBscSb9JJKaWkvEkqinAJ2kowKoqkqZftRqfRQlLtKoqvTRDi2vg%2FRrPD%2Fd3a09J8JhGZlEkOM6znTsoMCsuvTmywxTCDhw5dd0GJOHCMPbsj3QLkTE3MInsZsimDQ3HkvthT7U9VA4s6G07sID0FW4SHJmRGwCl%2BMu4xf0ezqeXD2PtPDnwMPo86sbwDV%2B9PWcgFcARUVYm3hrFQrHcgMElFGbSM2A1zUYA3baWfheJp2AINmTJLuoyYD%2FOwA4a6V0ChBN97E8YtDBerUECv0u0TlxR5yhJCXvJxgyM73Bb6pyq0jTFJDZ4p1Am1SA6sh8nADd1hAcGBMfq4d%2FUfwnmBqe0Jun1n1LzrgKuZMAnxA3NtCN7Klf4BH%2B14B7ibBmgt0TGUafVzI4uKlpF7v8NmgNjg90D6QE3tbx8AjSAC%2BOA1YJvclyPKgT27QpIEgVYpbPYGBsnyCNrGz9XUsCHkW1QAHgL2STZk12QGqmvAB0NFteERkvBIH7INDsNW9KKaAYyDMdBEMzJiWaJHZALqDxQDWRntumSDPcplyFiI1oDpT8wbwe01AHhW6%2BvAUUBoGhY3CT2tgwehdPqU%2F4Q7ZLYvhRl%2FogOvR9O2%2BwkkPKW5vCTjD2fHRYXONCoIl4Jh1bZY0ZE1O94mMGn%2FdFSWBWzQ%2FVYk%2BGezi46RgiDv3EshoTmMSlioUK6MQEN8qeyK6FRninyX8ZPeUWjjbMJChn0n%2FyJvrq5bh5UcCAcBYSafTFg7p0jDgrXo2QWLb3WpSOET%2FHh4oSadBTvyDo10IufLzxiMLAnbZ1vcUmj3w7BQuIXjEZXifwukVxrGa9j%2BDXfpi12m1RbzYLg9J2wFergEwOxFyD0%2FJstNK06ZN2XdZSGWxcJODpQHOq4iKqjqkJUmPu1VczL5xTGUfCgLEYyNBCCbMBFT%2FcUP6pE%2FmujnHsSDeWxMbhrNilS5MyYR0nJyzanWXBeVcEQrRIhQeJA6Xt4f2eQESNeLwmC10WJVHqwx8SSyrtAAjpGjidcj1E2FYN0LObUcFQhafUKTiGmHWRHGsFCB%2BHEXgrzJEB5bp0QiF8ZHh11nFX8AboTD0PS4O1LqF8XBks2MpjsQnwKHF6HgaKCVLJtcr0XjqFMRGfKv8tmmykhLRzu%2BvqQ02%2BKpJBjaLt9ye1Ab%2BBbEBhy4EVdIJDrL2naV0o4wU8YZ2Lq04FG1mWCKC%2BUwkXOoAjneU%2FxHplMQo2cXUlrVNqJYczgYlaOEczVCs%2FOCgkyvLmTmdaBJc1iBLuKwmr6qtRnhowngsDxhzKFAi02tf8bmET8BO27ovJKF1plJwm3b0JpMh38%2BxsrXXg7U74QUM8ZCIMOpXujHntKdaRtsgyEZl5MClMVMMMZkZLNxH9%2Bb8fH6%2Bb8Lev30A9TuEVj9CqAdmwAAHBPbfOBFEATAPZ2CS0OH1Pj%2F0Q7PFUcC8hDrxESWdfgFRm%2B7vvWbkEppHB4T%2F1ApWnlTIqQwjcPl0VgS1yHSmD0OdsCVST8CQVwuiew1Y%2Bg3QGFjNMzwRB2DSsAk26cmA8lp2wIU4p93AUBiUHFGOxOajAqD7Gm6NezNDjYzwLOaSXRBYcWipTSONHjUDXCY4mMI8XoVCR%2FRrs%2FJLKXgEx%2BqkmeDlFOD1%2FyTQNDClRuiUyKYCllfMiQiyFkmuTz2vLsBNyRW%2Bxz%2B5FElFxWB28VjYIGZ0Yd%2B5wIjkcoMaggxswbT0pCmckRAErbRlIlcOGdBo4djTNO8FAgQ%2BlT6vPS60BwTRSUAM3ddkEAZiwtEyArrkiDRnS7LJ%2B2hwbzd2YDQagSgACpsovmjil5wfPuXq3GuH0CyE7FK3M4FgRaFoIkaodORrPx1%2BJpI9psyNYIFuJogZa0%2F1AhOWdlHQxdAgbwacsHqPZo8u%2FngAH2GmaTdhYnBfSDbBfh8CHq6Bx5bttP2%2BRdM%2BMAaYaZ0Y%2FADkbNCZuAyAVQa2OcXOeICmDn9Q%2FeFkDeFQg5MgHEDXq%2FtVjj%2Bjtd26nhaaolWxs1ixSUgOBwrDhRIGOLyOVk2%2FBc0UxvseQCO2pQ2i%2BKrfhu%2FWeBovNb5dJxQtJRUDv2mCwYVpNl2efQM9xQHnK0JwLYt%2FU0Wf%2BphiA4uw8G91slC832pmOTCAoZXohg1fewCZqLBhkOUBofBWpMPsqg7XEXgPfAlDo2U5WXjtFdS87PIqClCK5nW6adCeXPkUiTGx0emOIDQqw1yFYGHEVx20xKjJVYe0O8iLmnQr3FA9nSIQilUKtJ4ZAdcTm7%2BExseJauyqo30hs%2B1qSW211A1SFAOUgDlCGq7eTIcMAeyZkV1SQJ4j%2Fe1Smbq4HcjqgFbLAGLyKxlMDMgZavK5NAYH19Olz3la%2FQCTiVelFnU6O%2FGCvykqS%2FwZJDhKN9gBtSOp%2F1SP5VRgJcoVj%2Bkmf2wBgv4gjrgARBWiURYx8xENV3bEVUAAWWD3dYDKAIWk5opaCFCMR5ZjJExiCAw7gYiSZ2rkyTce4eNMY3lfGn%2B8p6%2BvBckGlKEXnA6Eota69OxDO9oOsJoy28BXOR0UoXNRaJD5ceKdlWMJlOFzDdZNpc05tkMGQtqeNF2lttZqNco1VtwXgRstLSQ6tSPChgqtGV5h2DcDReIQadaNRR6AsAYKL5gSFsCJMgfsaZ7DpKh8mg8Wz8V7H%2BgDnLuMxaWEIUPevIbClgap4dqmVWSrPgVYCzAoZHIa5z2Ocx1D%2FGvDOEqMOKLrMefWIbSWHZ6jbgA8qVBhYNHpx0P%2BjAgN5TB3haSifDcApp6yymEi6Ij%2FGsEpDYUgcHATJUYDUAmC1SCkJ4cuZXSAP2DEpQsGUjQmKJfJOvlC2x%2FpChkOyLW7KEoMYc5FDC4v2FGqSoRWiLsbPCiyg1U5yiHZVm1XLkHMMZL11%2Fyxyw0UnGig3MFdZklN5FI%2FqiT65T%2BjOXOdO7XbgWurOAZR6Cv9uu1cm5LjkXX4xi6mWn5r5NjBS0gTliHhMZI2WNqSiSphEtiCAwnafS11JhseDGHYQ5%2BbqWiAYiAv6Jsf79%2FVUs4cIl%2Bn6%2BWOjcgB%2F2l5TreoAV2717JzZbQIR0W1cl%2FdEqCy5kJ3ZSIHuU0vBoHooEpiHeQWVkkkOqRX27eD1FWw4BfO9CJDdKoSogQi3hAAwsPRFrN5RbX7bqLdBJ9JYMohWrgJKHSjVl1sy2xAG0E3sNyO0oCbSGOxCNBRRXTXenYKuwAoDLfnDcQaCwehUOIDiHAu5m5hMpKeKM4sIo3vxACakIxKoH2YWF2QM84e6F5C5hJU4g8uxuFOlAYnqtwxmHyNEawLW%2FPhoawJDrGAP0JYWHgAVUByo%2FbGdiv2T2EMg8gsS14%2FrAdzlOYazFE7w4OzxeKiWdm3nSOnQRRKXSlVo8HEAbBfyJMKqoq%2BSCcTSx5NDtbFwNlh8VhjGGDu7JG5%2FTAGAvniQSSUog0pNzTim8Owc6QTuSKSTXlQqwV3eiEnklS3LeSXYPXGK2VgeZBqNcHG6tZHvA3vTINhV0ELuQdp3t1y9%2BogD8Kk%2FW7QoRN1UWPqM4%2BxdygkFDPLoTaumKReKiLWoPHOfY54m3qPx4c%2B4pgY3MRKKbljG8w4wvz8pxk3AqKsy4GMAkAtmRjRMsCxbb4Q2Ds0Ia9ci8cMT6DmsJG00XaHCIS%2Bo3F8YVVeikw13w%2BOEDaCYYhC0ZE54kA4jpjruBr5STWeqQG6M74HHL6TZ3lXrd99ZX%2B%2B7LhNatQaZosuxEf5yRA15S9gPeHskBIq3Gcw81AGb9%2FO53DYi%2F5CsQ51EmEh8Rkg4vOciClpy4d04eYsfr6fyQkBmtD%2BP8sNh6e%2BXYHJXT%2FlkXxT4KXU5F2sGxYyzfniMMQkb9OjDN2C8tRRgTyL7GwozH14PrEUZc6oz05Emne3Ts5EG7WolDmU8OB1LDG3VrpQxp%2BpT0KYV5dGtknU64JhabdqcVQbGZiAxQAnvN1u70y1AnmvOSPgLI6uB4AuDGhmAu3ATkJSw7OtS%2F2ToPjqkaq62%2F7WFG8advGlRRqxB9diP07JrXowKR9tpRa%2BjGJ91zxNTT1h8I2PcSfoUPtd7NejVoH03EUcqSBuFZPkMZhegHyo2ZAITovmm3zAIdGFWxoNNORiMRShgwdYwFzkPw5PA4a5MIIQpmq%2Bnsp3YMuXt%2FGkXxLx%2FP6%2BZJS0lFyz4MunC3eWSGE8xlCQrKvhKUPXr0hjpAN9ZK4PfEDrPMfMbGNWcHDzjA7ngMxTPnT7GMHar%2BgMQQ3NwHCv4zH4BIMYvzsdiERi6gebRmerTsVwZJTRsL8dkZgxgRxmpbgRcud%2BYlCIRpPwHShlUSwuipZnx9QCsEWziVazdDeKSYU5CF7UVPAhLer3CgJOQXl%2Fzh575R5rsrmRnKAzq4POFdgbYBuEviM4%2BLVC15ssLNFghbTtHWerS1hDt5s4qkLUha%2FqpZXhWh1C6lTQAqCNQnaDjS7UGFBC6wTu8yFnKJnExCnAs3Ok9yj5KpfZESQ4lTy5pTGTnkAUpxI%2ByjEldJfSo4y0QhG4i4IwkRFGcjWY8%2BEzgYYJUK7BXQksLxAww%2FYYWBMhJILB9e8ePEJ4OP7z%2B4%2FwOQDl64iOYDp26DaONPxpKtBxq%2FaTzRGarm3VkPYTLJKx6Z%2FMw2YbBGseJhPMwhhNswrIkyvV2BYzrvZbxLpKwcWJhYmFtVZ%2BlPEq91FzVp1HlQY1bZVLqeNR9SAUn6n0E28k%2FUuGkNpP1DBI5ch%2FEehZfjUQ9aE41NhETExoPT2gGQz0IhWJbEOvTQ4wgcXCHHFBhewYUiFHuhRSAUVmEHeCRQHQkXGFwkAgyzREJCVN7TRnTon36Zw3tPhx4EALwNdwDv%2BJ41YSP4B2CQqz0EFgARZ4ESgBHQgROwAVn9GTI%2BHYexTUevLUeta4%2FDqKrbMVS%2BYqb8hUwYCrlgKtmAq1YCrFgKrd4qpXiqZcKn1oqdWipjYKpWwVPVYqW6xUpVipKqFR3QKjagVEtAqHpxUMTitsnFaJOKx2cVhswq35RVpyiq9lFVNIKnOQVMkgqtYxVNxiqQjFS7GKlSIVIsQqPIhUWwioigFQ%2B%2BKkN8VHr49HDw9Ebo9EDo9DTo9Crg9BDg9%2FWx7gWx7YWwlobYrOGxWPNisAaAHEyALpkAVDIAeWAArsABVXACYuAD5cAF6wAKFQAQqgAbVAAsoAAlQAUaYAfkwAvogBWQACOgAD9AAHSAAKT4GUdMiOvFngBTwCn2AZ7Dv6B6k%2F90B8%2ByRnkV144AIBoAMTQATGgAjNAA4YABgwABZgB%2FmQCwyAVlwCguASlwCEuAQFwB4uAMlwBYuAJlQAUVAAhUD2KgdpUDaJgaRMDFJgX5MC1JgWJEAokQCWRAHxEAWkQBMRADpEAMkQAYROAEecC484DRpwBDTnwNOdw05tjTmiNOYwtswhYFwLA7BYG4LA2BYGOLAwRYFuLAsxYFQJAohIEyJAMwkAwiQC0JAJgkAeiQBkJAFokAPCQA0JABwcD4Dgc4cDdDgaYcDIDgYgUC6CgWgUClCgUYUAVBQBOFAEYMALgwAgDA9QYAdIn8AZzeBB2L5EcWrenUT1KXienEsuJJ7x5U8XlTjc1NVzUyXFTGb1LlpUtWlTDIjqwE4LsagowoCi2gJLKAkpoBgJQNpAIhNqaEoneI6kiiqQ6Go%2Fn6j0cS%2Ba2gEU8gIHJ%2BBwfgZX4GL%2BBd%2FgW34FZ%2BBS%2FgUH4FN6BTegTvoEv6BJegRnYEF2A79gOvYDl2BdEjCkqkGtwXp0LNToIskOTXzh%2FF062yJ7AAAAEDAWAAABWhJ%2BKPEIJgBFxMVP7w2QJBGHASQnOBKXKFIdUK4igKA9IEaYJg%29%3Bsrc%3Aurl%28data%3Aapplication%2Fvnd%2Ems%2Dfontobject%3Bbase64%2Cn04AAEFNAAACAAIABAAAAAAABQAAAAAAAAABAJABAAAEAExQAAAAAAAAAAIAAAAAAAAAAAEAAAAAAAAAJxJ%2FLAAAAAAAAAAAAAAAAAAAAAAAACgARwBMAFkAUABIAEkAQwBPAE4AUwAgAEgAYQBsAGYAbABpAG4AZwBzAAAADgBSAGUAZwB1AGwAYQByAAAAeABWAGUAcgBzAGkAbwBuACAAMQAuADAAMAA5ADsAUABTACAAMAAwADEALgAwADAAOQA7AGgAbwB0AGMAbwBuAHYAIAAxAC4AMAAuADcAMAA7AG0AYQBrAGUAbwB0AGYALgBsAGkAYgAyAC4ANQAuADUAOAAzADIAOQAAADgARwBMAFkAUABIAEkAQwBPAE4AUwAgAEgAYQBsAGYAbABpAG4AZwBzACAAUgBlAGcAdQBsAGEAcgAAAAAAQlNHUAAAAAAAAAAAAAAAAAAAAAADAKncAE0TAE0ZAEbuFM3pjM%2FSEdmjKHUbyow8ATBE40IvWA3vTu8LiABDQ%2BpexwUMcm1SMnNryctQSiI1K5ZnbOlXKmnVV5YvRe6RnNMFNCOs1KNVpn6yZhCJkRtVRNzEufeIq7HgSrcx4S8h%2Fv4vnrrKc6oCNxmSk2uKlZQHBii6iKFoH0746ThvkO1kJHlxjrkxs%2BLWORaDQBEtiYJIR5IB9Bi1UyL4Rmr0BNigNkMzlKQmnofBHviqVzUxwdMb3NdCn69hy%2BpRYVKGVS%2F1tnsqv4LL7wCCPZZAZPT4aCShHjHJVNuXbmMrY5LeQaGnvAkXlVrJgKRAUdFjrWEah9XebPeQMj7KS7DIBAFt8ycgC5PLGUOHSE3ErGZCiViNLL5ZARfywnCoZaKQCu6NuFX42AEeKtKUGnr%2FCm2Cy8tpFhBPMW5Fxi4Qm4TkDWh4IWFDClhU2hRWosUWqcKLlgyXB%2BlSHaWaHiWlBAR8SeSgSPCQxdVQgzUixWKSTrIQEbU94viDctkvX%2BVSjJuUmV8L4CXShI11esnp0pjWNZIyxKHS4wVQ2ime1P4RnhvGw0aDN1OLAXGERsB7buFpFGGBAre4QEQR0HOIO5oYH305G%2BKspT%2FFupEGGafCCwxSe6ZUa%2B073rXHnNdVXE6eWvibUS27XtRzkH838mYLMBmYysZTM0EM3A1fbpCBYFccN1B%2FEnCYu%2FTgCGmr7bMh8GfYL%2BBfcLvB0gRagC09w9elfldaIy%2FhNCBLRgBgtCC7jAF63wLSMAfbfAlEggYU0bUA7ACCJmTDpEmJtI78w4%2FBO7dN7JR7J7ZvbYaUbaILSQsRBiF3HGk5fEg6p9unwLvn98r%2BvnsV%2B372uf1xBLq4qU%2F45fTuqaAP%2BpssmCCCTF0mhEow8ZXZOS8D7Q85JsxZ%2BAzok7B7O%2Ff6J8AzYBySZQB%2FQHYUSA%2BEeQhEWiS6AIQzgcsDiER4MjgMBAWDV4AgQ3g1eBgIdweCQmCjJEMkJ%2BPKRWyFHHmg1Wi%2F6xzUgA0LREoKJChwnQa9B%2B5RQZRB3IlBlkAnxyQNaANwHMowzlYSMCBgnbpzvqpl0iTJNCQidDI9ZrSYNIRBhHtUa5YHMHxyGEik9hDE0AKj72AbTCaxtHPUaKZdAZSnQTyjGqGLsmBStCejApUhg4uBMU6mATujEl%2BKdDPbI6Ag4vLr%2BhjY6lbjBeoLKnZl0UZgRX8gTySOeynZVz1wOq7e1hFGYIq%2BMhrGxDLak0PrwYzSXtcuyhXEhwOYofiW%2BEcI%2Fjw8P6IY6ed%2BetAbuqKp5QIapT77LnAe505lMuqL79a0ut4rWexzFttsOsLDy7zvtQzcq3U1qabe7tB0wHWVXji%2BzDbo8x8HyIRUbXnwUcklFv51fvTymiV%2BMXLSmGH9d9%2BaXpD5X6lao41anWGig7IwIdnoBY2ht%2FpO9mClLo4NdXHAsefqWUKlXJkbqPOFhMoR4aiA1BXqhRNbB2Xwi%2B7u%2FjpAoOpKJ0UX24EsrzMfHXViakCNcKjBxuQX8BO0ZqjJ3xXzf%2B61t2VXOSgJ8xu65QKgtN6FibPmPYsXbJRHHqbgATcSZxBqGiDiU4NNNsYBsKD0MIP%2FOfKnlk%2FLkaid%2FO2NbKeuQrwOB2Gq3YHyr6ALgzym5wIBnsdC1ZkoBFZSQXChZvlesPqvK2c5oHHT3Q65jYpNxnQcGF0EHbvYqoFw60WNlXIHQF2HQB7zD6lWjZ9rVqUKBXUT6hrkZOle0RFYII0V5ZYGl1JAP0Ud1fZZMvSomBzJ710j4Me8mjQDwEre5Uv2wQfk1ifDwb5ksuJQQ3xt423lbuQjvoIQByQrNDh1JxGFkOdlJvu%2FgFtuW0wR4cgd%2BZKesSV7QkNE2kw6AV4hoIuC02LGmTomyf8PiO6CZzOTLTPQ%2BHW06H%2Btx%2BbQ8LmDYg1pTFrp2oJXgkZTyeRJZM0C8aE2LpFrNVDuhARsN543%2FFV6klQ6Tv1OoZGXLv0igKrl%2FCmJxRmX7JJbJ998VSIPQRyDBICzl4JJlYHbdql30NvYcOuZ7a10uWRrgoieOdgIm4rlq6vNOQBuqESLbXG5lzdJGHw2m0sDYmODXbYGTfSTGRKpssTO95fothJCjUGQgEL4yKoGAF%2F0SrpUDNn8CBgBcSDQByAeNkCXp4S4Ro2Xh4OeaGRgR66PVOsU8bc6TR5%2FxTcn4IVMLOkXSWiXxkZQCbvKfmoAvQaKjO3EDKwkwqHChCDEM5loQRPd5ACBki1TjF772oaQhQbQ5C0lcWXPFOzrfsDGUXGrpxasbG4iab6eByaQkQfm0VFlP0ZsDkvvqCL6QXMUwCjdMx1ZOyKhTJ7a1GWAdOUcJ8RSejxNVyGs31OKMyRyBVoZFjqIkmKlLQ5eHMeEL4MkUf23cQ%2F1SgRCJ1dk4UdBT7OoyuNgLs0oCd8RnrEIb6QdMxT2QjD4zMrJkfgx5aDMcA4orsTtKCqWb%2FVeyceqa5OGSmB28YwH4rFbkQaLoUN8OQQYnD3w2eXpI4ScQfbCUZiJ4yMOIKLyyTc7BQ4uXUw6Ee6%2FxM%2B4Y67ngNBknxIPwuppgIhFcwJyr6EIj%2BLzNj%2FmfR2vhhRlx0BILZoAYruF0caWQ7YxO66UmeguDREAFHYuC7HJviRgVO6ruJH59h%2FC%2FPkgSle8xNzZJULLWq9JMDTE2fjGE146a1Us6PZDGYle6ldWRqn%2FpdpgHKNGrGIdkRK%2BKPETT9nKT6kLyDI8xd9A1FgWmXWRAIHwZ37WyZHOVyCadJEmMVz0MadMjDrPho%2BEIochkVC2xgGiwwsQ6DMv2P7UXqT4x7CdcYGId2BJQQa85EQKmCmwcRejQ9Bm4oATENFPkxPXILHpMPUyWTI5rjNOsIlmEeMbcOCEqInpXACYQ9DDxmFo9vcmsDblcMtg4tqBerNngkIKaFJmrQAPnq1dEzsMXcwjcHdfdCibcAxxA%2Bq%2Fj9m3LM%2FO7WJka4tSidVCjsvo2lQ%2F2ewyoYyXwAYyr2PlRoR5MpgVmSUIrM3PQxXPbgjBOaDQFIyFMJvx3Pc5RSYj12ySVF9fwFPQu2e2KWVoL9q3Ayv3IzpGHUdvdPdrNUdicjsTQ2ISy7QU3DrEytIjvbzJnAkmANXjAFERA0MUoPF3%2F5KFmW14bBNOhwircYgMqoDpUMcDtCmBE82QM2YtdjVLB4kBuKho%2FbcwQdeboqfQartuU3CsCf%2BcXkgYAqp%2F0Ee3RorAZt0AvvOCSI4JICIlGlsV0bsSid%2FNIEALAAzb6HAgyWHBps6xAOwkJIGcB82CxRQq4sJf3FzA70A%2BTRqcqjEMETCoez3mkPcpnoALs0ugJY8kQwrC%2BJE5ik3w9rzrvDRjAQnqgEVvdGrNwlanR0SOKWzxOJOvLJhcd8Cl4AshACUkv9czdMkJCVQSQhp6kp7StAlpVRpK0t0SW6LHeBJnE2QchB5Ccu8kxRghZXGIgZIiSj7gEKMJDClcnX6hgoqJMwiQDigIXg3ioFLCgDgjPtYHYpsF5EiA4kcnN18MZtOrY866dEQAb0FB34OGKHGZQjwW%2FWDHA60cYFaI%2FPjpzquUqdaYGcIq%2BmLez3WLFFCtNBN2QJcrlcoELgiPku5R5dSlJFaCEqEZle1AQzAKC%2B1SotMcBNyQUFuRHRF6OlimSBgjZeTBCwLyc6A%2BP%2FoFRchXTz5ADknYJHxzrJ5pGuIKRQISU6WyKTBBjD8WozmVYWIsto1AS5rxzKlvJu4E%2FvwOiKxRtCWsDM%2BeTHUrmwrCK5BIfMzGkD%2B0Fk5LzBs0jMYXktNDblB06LMNJ09U8pzSLmo14MS0OMjcdrZ31pyQqxJJpRImlSvfYAK8inkYU52QY2FPEVsjoWewpwhRp5yAuNpkqhdb7ku9Seefl2D0B8SMTFD90xi4CSOwwZy9IKkpMtI3FmFUg3%2FkFutpQGNc3pCR7gvC4sgwbupDu3DyEN%2BW6YGLNM21jpB49irxy9BSlHrVDlnihGKHwPrbVFtc%2Bh1rVQKZduxIyojccZIIcOCmhEnC7UkY68WXKQgLi2JCDQkQWJRQuk60hZp0D3rtCTINSeY9Ej2kIKYfGxwOs4j9qMM7fYZiipzgcf7TamnehqdhsiMiCawXnz4xAbyCkLAx5EGbo3Ax1u3dUIKnTxIaxwQTHehPl3V491H0%2BbC5zgpGz7Io%2BmjdhKlPJ01EeMpM7UsRJMi1nGjmJg35i6bQBAAxjO%2FENJubU2mg3ONySEoWklCwdABETcs7ck3jgiuU9pcKKpbgn%2B3YlzV1FzIkB6pmEDOSSyDfPPlQskznctFji0kpgZjW5RZe6x9kYT4KJcXg0bNiCyif%2BpZACCyRMmYsfiKmN9tSO65F0R2OO6ytlEhY5Sj6uRKfFxw0ijJaAx%2Fk3QgnAFSq27%2F2i4GEBA%2BUvTJKK%2F9eISNvG46Em5RZfjTYLdeD8kdXHyrwId%2FDQZUaMCY4gGbke2C8vfjgV%2FY9kkRQOJIn%2FxM9INZSpiBnqX0Q9GlQPpPKAyO5y%2BW5NMPSRdBCUlmuxl40ZfMCnf2Cp044uI9WLFtCi4YVxKjuRCOBWIb4XbIsGdbo4qtMQnNOQz4XDSui7W%2FN6l54qOynCqD3DpWQ%2BmpD7C40D8BZEWGJX3tlAaZBMj1yjvDYKwCJBa201u6nBKE5UE%2B7QSEhCwrXfbRZylAaAkplhBWX50dumrElePyNMRYUrC99UmcSSNgImhFhDI4BXjMtiqkgizUGCrZ8iwFxU6fQ8GEHCFdLewwxYWxgScAYMdMLmcZR6b7rZl95eQVDGVoUKcRMM1ixXQtXNkBETZkVVPg8LoSrdetHzkuM7DjZRHP02tCxA1fmkXKF3VzfN1pc1cv%2F8lbTIkkYpqKM9VOhp65ktYk%2BQ46myFWBapDfyWUCnsnI00QTBQmuFjMZTcd0V2NQ768Fhpby04k2IzNR1wKabuGJqYWwSly6ocMFGTeeI%2BejsWDYgEvr66QgqdcIbFYDNgsm0x9UHY6SCd5%2B7tpsLpKdvhahIDyYmEJQCqMqtCF6UlrE5GXRmbu%2Bvtm3BFSxI6ND6UxIE7GsGMgWqghXxSnaRJuGFveTcK5ZVSPJyjUxe1dKgI6kNF7EZhIZs8y8FVqwEfbM0Xk2ltORVDKZZM40SD3qQoQe0orJEKwPfZwm3YPqwixhUMOndis6MhbmfvLBKjC8sKKIZKbJk8L11oNkCQzCgvjhyyEiQSuJcgCQSG4Mocfgc0Hkwcjal1UNgP0CBPikYqBIk9tONv4kLtBswH07vUCjEaHiFGlLf8MgXKzSgjp2HolRRccAOh0ILHz9qlGgIFkwAnzHJRjWFhlA7ROwINyB5HFj59PRZHFor6voq7l23EPNRwdWhgawqbivLSjRA4htEYUFkjESu67icTg5S0aW1sOkCiIysfJ9UnIWevOOLGpepcBxy1wEhd2WI3AZg7sr9WBmHWyasxMcvY%2FiOmsLtHSWNUWEGk9hScMPShasUA1AcHOtRZlqMeQ0OzYS9vQvYUjOLrzP07BUAFikcJNMi7gIxEw4pL1G54TcmmmoAQ5s7TGWErJZ2Io4yQ0ljRYhL8H5e62oDtLF8aDpnIvZ5R3GWJyAugdiiJW9hQAVTsnCBHhwu7rkBlBX6r3b7ejEY0k5GGeyKv66v%2B6dg7mcJTrWHbtMywbedYqCQ0FPwoytmSWsL8WTtChZCKKzEF7vP6De4x2BJkkniMgSdWhbeBSLtJZR9CTHetK1xb34AYIJ37OegYIoPVbXgJ%2FqDQK%2BbfCtxQRVKQu77WzOoM6SGL7MaZwCGJVk46aImai9fmam%2BWpHG%2B0BtQPWUgZ7RIAlPq6lkECUhZQ2gqWkMYKcYMYaIc4gYCDFHYa2d1nzp3%2BJ1eCBay8IYZ0wQRKGAqvCuZ%2FUgbQPyllosq%2BXtfKIZOzmeJqRazpmmoP%2F76YfkjzV2NlXTDSBYB04SVlNQsFTbGPk1t%2FI4Jktu0XSgifO2ozFOiwd%2F0SssJDn0dn4xqk4GDTTKX73%2FwQyBLdqgJ%2BWx6AQaba3BA9CKEzjtQYIfAsiYamapq80LAamYjinlKXUkxdpIDk0puXUEYzSalfRibAeDAKpNiqQ0FTwoxuGYzRnisyTotdVTclis1LHRQCy%2FqqL8oUaQzWRxilq5Mi0IJGtMY02cGLD69vGjkj3p6pGePKI8bkBv5evq8SjjyU04vJR2cQXQwSJyoinDsUJHCQ50jrFTT7yRdbdYQMB3MYCb6uBzJ9ewhXYPAIZSXfeEQBZZ3GPN3Nbhh%2FwkvAJLXnQMdi5NYYZ5GHE400GS5rXkOZSQsdZgIbzRnF9ueLnsfQ47wHAsirITnTlkCcuWWIUhJSbpM3wWhXNHvt2xUsKKMpdBSbJnBMcihkoDqAd1Zml%2FR4yrzow1Q2A5G%2Bkzo%2FRhRxQS2lCSDRV8LlYLBOOoo1bF4jwJAwKMK1tWLHlu9i0j4Ig8qVm6wE1DxXwAwQwsaBWUg2pOOol2dHxyt6npwJEdLDDVYyRc2D0HbcbLUJQj8gPevQBUBOUHXPrsAPBERICpnYESeu2OHotpXQxRGlCCtLdIsu23MhZVEoJg8Qumj%2FUMMc34IBqTKLDTp76WzL%2FdMjCxK7MjhiGjeYAC%2Fkj%2FjY%2FRde7hpSM1xChrog6yZ7OWTuD56xBJnGFE%2BpT2ElSyCnJcwVzCjkqeNLfMEJqKW0G7OFIp0G%2B9mh50I9o8k1tpCY0xYqFNIALgIfc2me4n1bmJnRZ89oepgLPT0NTMLNZsvSCZAc3TXaNB07vail36%2FdBySis4m9%2FDR8izaLJW6bWCkVgm5T%2Bius3ZXq4xI%2BGnbveLbdRwF2mNtsrE0JjYc1AXknCOrLSu7Te%2Fr4dPYMCl5qtiHNTn%2BTPbh1jCBHH%2BdMJNhwNgs3nT%2BOhQoQ0vYif56BMG6WowAcHR3DjQolxLzyVekHj00PBAaW7IIAF1EF%2BuRIWyXjQMAs2chdpaKPNaB%2BkSezYt0%2BCA04sOg5vx8Fr7Ofa9sUv87h7SLAUFSzbetCCZ9pmyLt6l6%2FTzoA1%2FZBG9bIUVHLAbi%2FkdBFgYGyGwRQGBpkqCEg2ah9UD6EedEcEL3j4y0BQQCiExEnocA3SZboh%2Bepgd3YsOkHskZwPuQ5OoyA0fTA5AXrHcUOQF%2BzkJHIA7PwCDk1gGVmGUZSSoPhNf%2BTklauz98QofOlCIQ%2FtCD4dosHYPqtPCXB3agggQQIqQJsSkB%2Bqn0rkQ1toJjON%2FOtCIB9RYv3PqRA4C4U68ZMlZn6BdgEvi2ziU%2BTQ6NIw3ej%2BAtDwMGEZk7e2IjxUWKdAxyaw9OCwSmeADTPPleyk6UhGDNXQb%2B%2BW6Uk4q6F7%2Frg6WVTo82IoCxSIsFDrav4EPHphD3u4hR53WKVvYZUwNCCeM4PMBWzK%2BEfIthZOkuAwPo5C5jgoZgn6dUdvx5rIDmd58cXXdKNfw3l%2BwM2UjgrDJeQHhbD7HW2QDoZMCujgIUkk5Fg8VCsdyjOtnGRx8wgKRPZN5dR0zPUyfGZFVihbFRniXZFOZGKPnEQzU3AnD1KfR6weHW2XS6KbPJxUkOTZsAB9vTVp3Le1F8q5l%2BDMcLiIq78jxAImD2pGFw0VHfRatScGlK6SMu8leTmhUSMy8Uhdd6xBiH3Gdman4tjQGLboJfqz6fL2WKHTmrfsKZRYX6BTDjDldKMosaSTLdQS7oDisJNqAUhw1PfTlnacCO8vl8706Km1FROgLDmudzxg%2BEWTiArtHgLsRrAXYWdB0NmToNCJdKm0KWycZQqb%2BMw76Qy29iQ5up%2FX7oyw8QZ75kP5F6iJAJz6KCmqxz8fEa%2FxnsMYcIO%2FvEkGRuMckhr4rIeLrKaXnmIzlNLxbFspOphkcnJdnz%2FChp%2FVlpj2P7jJQmQRwGnltkTV5dbF9fE3%2FfxoSqTROgq9wFUlbuYzYcasE0ouzBo%2BdDCDzxKAfhbAZYxQiHrLzV2iVexnDX%2FQnT1fsT%2Fxuhu1ui5qIytgbGmRoQkeQooO8eJNNZsf0iALur8QxZFH0nCMnjerYQqG1pIfjyVZWxhVRznmmfLG00BcBWJE6hzQWRyFknuJnXuk8A5FRDCulwrWASSNoBtR%2BCtGdkPwYN2o7DOw%2FVGlCZPusRBFXODQdUM5zeHDIVuAJBLqbO%2Ff9Qua%2BpDqEPk230Sob9lEZ8BHiCorjVghuI0lI4JDgHGRDD%2FprQ84B1pVGkIpVUAHCG%2Biz3Bn3qm2AVrYcYWhock4jso5%2BJ7HfHVj4WMIQdGctq3psBCVVzupQOEioBGA2Bk%2BUILT7%2BVoX5mdxxA5fS42gISQVi%2FHTzrgMxu0fY6hE1ocUwwbsbWcezrY2n6S8%2F6cxXkOH4prpmPuFoikTzY7T85C4T2XYlbxLglSv2uLCgFv8Quk%2FwdesUdWPeHYIH0R729JIisN9Apdd4eB10aqwXrPt%2BSu9mA8k8n1sjMwnfsfF2j3jMUzXepSHmZ%2FBfqXvzgUNQQWOXO8YEuFBh4QTYCkOAPxywpYu1VxiDyJmKVcmJPGWk%2Fgc3Pov02StyYDahwmzw3E1gYC9wkupyWfDqDSUMpCTH5e5N8B%2F%2FlHiMuIkTNw4USHrJU67bjXGqNav6PBuQSoqTxc8avHoGmvqNtXzIaoyMIQIiiUHIM64cXieouplhNYln7qgc4wBVAYR104kO%2BCvKqsg4yIUlFNThVUAKZxZt1XA34h3TCUUiXVkZ0w8Hh2R0Z5L0b4LZvPd%2Fp1gi%2F07h8qfwHrByuSxglc9cI4QIg2oqvC%2Fqm0i7tjPLTgDhoWTAKDO2ONW5oe%2B%2FeKB9vZB8K6C25yCZ9RFVMnb6NRdRjyVK57CHHSkJBfnM2%2Fj4ODUwRkqrtBBCrDsDpt8jhZdXoy%2F1BCqw3sSGhgGGy0a5Jw6BP%2FTExoCmNFYjZl248A0osgPyGEmRA%2BfAsqPVaNAfytu0vuQJ7rk3J4kTDTR2AlCHJ5cls26opZM4w3jMULh2YXKpcqGBtuleAlOZnaZGbD6DHzMd6i2oFeJ8z9XYmalg1Szd%2FocZDc1C7Y6vcALJz2lYnTXiWEr2wawtoR4g3jvWUU2Ngjd1cewtFzEvM1NiHZPeLlIXFbBPawxNgMwwAlyNSuGF3zizVeOoC9bag1qRAQKQE%2FEZBWC2J8mnXAN2aTBboZ7HewnObE8CwROudZHmUM5oZ%2FUgd%2FJZQK8lvAm43uDRAbyW8gZ%2BZGq0EVerVGUKUSm%2FIdn8AQHdR4m7bue88WBwft9mSCeMOt1ncBwziOmJYI2ZR7ewNMPiCugmSsE4EyQ%2BQATJG6qORMGd4snEzc6B4shPIo4G1T7PgSm8PY5eUkPdF8JZ0VBtadbHXoJgnEhZQaODPj2gpODKJY5Yp4DOsLBFxWbvXN755KWylJm%2BoOd4zEL9Hpubuy2gyyfxh8oEfFutnYWdfB8PdESLWYvSqbElP9qo3u6KTmkhoacDauMNNjj0oy40DFV7Ql0aZj77xfGl7TJNHnIwgqOkenruYYNo6h724%2BzUQ7%2BvkCpZB%2BpGA562hYQiDxHVWOq0oDQl%2FQsoiY%2BcuI7iWq%2FZIBtHcXJ7kks%2Bh2fCNUPA82BzjnqktNts%2BRLdk1VSu%2BtqEn7QZCCsvEqk6FkfiOYkrsw092J8jsfIuEKypNjLxrKA9kiA19mxBD2suxQKCzwXGws7kEJvlhUiV9tArLIdZW0IORcxEzdzKmjtFhsjKy%2F44XYXdI5noQoRcvjZ1RMPACRqYg2V1%2BOwOepcOknRLLFdYgTkT5UApt%2FJhLM3jeFYprZV%2BZow2g8fP%2BU68hkKFWJj2yBbKqsrp25xkZX1DAjUw52IMYWaOhab8Kp05VrdNftqwRrymWF4OQSjbdfzmRZirK8FMJELEgER2PHjEAN9pGfLhCUiTJFbd5LBkOBMaxLr%2FA1SY9dXFz4RjzoU9ExfJCmx%2FI9FKEGT3n2cmzl2X42L3Jh%2BAbQq6sA%2BSs1kitoa4TAYgKHaoybHUDJ51oETdeI%2F9ThSmjWGkyLi5QAGWhL0BG1UsTyRGRJOldKBrYJeB8ljLJHfATWTEQBXBDnQexOHTB%2BUn44zExFE4vLytcu5NwpWrUxO%2F0ZICUGM7hGABXym0V6ZvDST0E370St9MIWQOTWngeoQHUTdCJUP04spMBMS8LSker9cReVQkULFDIZDFPrhTzBl6sed9wcZQTbL%2BBDqMyaN3RJPh%2Fanbx%2BIv%2BqgQdAa3M9Z5JmvYlh4qop%2BHo1F1W5gbOE9YKLgAnWytXElU4G8GtW47lhgFE6gaSs%2Bgs37sFvi0PPVvA5dnCBgILTwoKd%2F%2BDoL9F6inlM7H4rOTzD79KJgKlZO%2FZgt22UsKhrAaXU5ZcLrAglTVKJEmNJvORGN1vqrcfSMizfpsgbIe9zno%2BgBoKVXgIL%2FVI8dB1O5o%2FR3Suez%2FgD7M781ShjKpIIORM%2FnxG%2BjjhhgPwsn2IoXsPGPqYHXA63zJ07M2GPEykQwJBYLK808qYxuIew4frk52nhCsnCYmXiR6CuapvE1IwRB4%2FQftDbEn%2BAucIr1oxrLabRj9q4ae0%2BfXkHnteAJwXRbVkR0mctVSwEbqhJiMSZUp9DNbEDMmjX22m3ABpkrPQQTP3S1sib5pD2VRKRd%2BeNAjLYyT0hGrdjWJZy24OYXRoWQAIhGBZRxuBFMjjZQhpgrWo8SiFYbojcHO8V5DyscJpLTHyx9Fimassyo5U6WNtquUMYgccaHY5amgR3PQzq3ToNM5ABnoB9kuxsebqmYZm0R9qxJbFXCQ1UPyFIbxoUraTJFDpCk0Wk9GaYJKz%2F6oHwEP0Q14lMtlddQsOAU9zlYdMVHiT7RQP3XCmWYDcHCGbVRHGnHuwzScA0BaSBOGkz3lM8CArjrBsyEoV6Ys4qgDK3ykQQPZ3hCRGNXQTNNXbEb6tDiTDLKOyMzRhCFT%2BmAUmiYbV3YQVqFVp9dorv%2BTsLeCykS2b5yyu8AV7IS9cxcL8z4Kfwp%2BxJyYLv1OsxQCZwTB4a8BZ%2F5EdxTBJthApqyfd9u3ifr%2FWILTqq5VqgwMT9SOxbSGWLQJUUWCVi4k9tho9nEsbUh7U6NUsLmkYFXOhZ0kmamaJLRNJzSj%2Fqn4Mso6zb6iLLBXoaZ6AqeWCjHQm2lztnejYYM2eubnpBdKVLORZhudH3JF1waBJKA9%2BW8EhMj3Kzf0L4vi4k6RoHh3Z5YgmSZmk6ns4fjScjAoL8GoOECgqgYEBYUGFVO4FUv4%2FYtowhEmTs0vrvlD%2FCrisnoBNDAcUi%2FteY7OctFlmARQzjOItrrlKuPO6E2Ox93L4O%2F4DcgV%2FdZ7qR3VBwVQxP1GCieA4RIpweYJ5FoYrHxqRBdJjnqbsikA2Ictbb8vE1GYIo9dacK0REgDX4smy6GAkxlH1yCGGsk%2BtgiDhNKuKu3yNrMdxafmKTF632F8Vx4BNK57GvlFisrkjN9WDAtjsWA0ENT2e2nETUb%2Fn7qwhvGnrHuf5bX6Vh%2Fn3xffU3PeHdR%2BFA92i6ufT3AlyAREoNDh6chiMWTvjKjHDeRhOa9YkOQRq1vQXEMppAQVwHCuIcV2g5rBn6GmZZpTR7vnSD6ZmhdSl176gqKTXu5E%2BYbfL0adwNtHP7dT7t7b46DVZIkzaRJOM%2BS6KcrzYVg%2BT3wSRFRQashjfU18NutrKa%2F7PXbtuJvpIjbgPeqd%2BpjmRw6YKpnANFSQcpzTZgpSNJ6J7uiagAbir%2F8tNXJ%2FOsOnRh6iuIexxrmkIneAgz8QoLmiaJ8sLQrELVK2yn3wOHp57BAZJhDZjTBzyoRAuuZ4eoxHruY1pSb7qq79cIeAdOwin4GdgMeIMHeG%2BFZWYaiUQQyC5b50zKjYw97dFjAeY2I4Bnl105Iku1y0lMA1ZHolLx19uZnRdILcXKlZGQx%2FGdEqSsMRU1BIrFqRcV1qQOOHyxOLXEGcbRtAEsuAC2V4K3p5mFJ22IDWaEkk9ttf5Izb2LkD1MnrSwztXmmD%2FQi%2FEmVEFBfiKGmftsPwVaIoZanlKndMZsIBOskFYpDOq3QUs9aSbAAtL5Dbokus2G4%2FasthNMK5UQKCOhU97oaOYNGsTah%2BjfCKsZnTRn5TbhFX8ghg8CBYt%2FBjeYYYUrtUZ5jVij%2Fop7V5SsbA4mYTOwZ46hqdpbB6Qvq3AS2HHNkC15pTDIcDNGsMPXaBidXYPHc6PJAkRh29Vx8KcgX46LoUQBhRM%2B3SW6Opll%2FwgxxsPgKJKzr5QCmwkUxNbeg6Wj34SUnEzOemSuvS2OetRCO8Tyy%2BQbSKVJcqkia%2BGvDefFwMOmgnD7h81TUtMn%2BmRpyJJ349HhAnoWFTejhpYTL9G8N2nVg1qkXBeoS9Nw2fB27t7trm7d%2FQK7Cr4uoCeOQ7%2F8JfKT77KiDzLImESHw%2F0wf73QeHu74hxv7uihi4fTX%2BXEwAyQG3264dwv17aJ5N335Vt9sdrAXhPOAv8JFvzqyYXwfx8WYJaef1gMl98JRFyl5Mv5Uo%2FoVH5ww5OzLFsiTPDns7fS6EURSSWd%2F92BxMYQ8sBaH%2Bj%2BwthQPdVgDGpTfi%2BJQIWMD8xKqULliRH01rTeyF8x8q%2FGBEEEBrAJMPf25UQwi0b8tmqRXY7kIvNkzrkvRWLnxoGYEJsz8u4oOyMp8cHyaybb1HdMCaLApUE%2B%2F7xLIZGP6H9xuSEXp1zLIdjk5nBaMuV%2FyTDRRP8Y2ww5RO6d2D94o%2B6ucWIqUAvgHIHXhZsmDhjVLczmZ3ca0Cb3PpKwt2UtHVQ0BgFJsqqTsnzZPlKahRUkEu4qmkJt%2Bkqdae76ViWe3STan69yaF9%2BfESD2lcQshLHWVu4ovItXxO69bqC5p1nZLvI8NdQB9s9UNaJGlQ5mG947ipdDA0eTIw%2FA1zEdjWquIsQXXGIVEH0thC5M%2BW9pZe7IhAVnPJkYCCXN5a32HjN6nsvokEqRS44tGIs7s2LVTvcrHAF%2BRVmI8L4HUYk4x%2B67AxSMJKqCg8zrGOgvK9kNMdDrNiUtSWuHFpC8%2Fp5qIQrEo%2FH%2B1l%2F0cAwQ2nKmpWxKcMIuHY44Y6DlkpO48tRuUGBWT0FyHwSKO72Ud%2BtJUfdaZ4CWNijzZtlRa8%2BCkmO%2FEwHYfPZFU%2FhzjFWH7vnzHRMo%2BaF9u8qHSAiEkA2HjoNQPEwHsDKOt6hOoK3Ce%2F%2B%2F9boMWDa44I6FrQhdgS7OnNaSzwxWKZMcyHi6LN4WC6sSj0qm2PSOGBTvDs%2FGWJS6SwEN%2FULwpb4LQo9fYjUfSXRwZkynUazlSpvX9e%2BG2zor8l%2BYaMxSEomDdLHGcD6YVQPegTaA74H8%2BV4WvJkFUrjMLGLlvSZQWvi8%2FQA7yzQ8GPno%2F%2F5SJHRP%2FOqKObPCo81s%2F%2B6WgLqykYpGAgQZhVDEBPXWgU%2FWzFZjKUhSFInufPRiMAUULC6T11yL45ZrRoB4DzOyJShKXaAJIBS9wzLYIoCEcJKQW8GVCx4fihqJ6mshBUXSw3wWVj3grrHQlGNGhIDNNzsxQ3M%2BGWn6ASobIWC%2BLbYOC6UpahVO13Zs2zOzZC8z7FmA05JhUGyBsF4tsG0drcggIFzgg%2Fkpf3%2BCnAXKiMgIE8Jk%2FMhpkc8DUJEUzDSnWlQFme3d0sHZDrg7LavtsEX3cHwjCYA17pMTfx8Ajw9hHscN67hyo%2BRJQ4458RmPywXykkVcW688oVUrQhahpPRvTWPnuI0B%2BSkQu7dCyvLRyFYlC1LG1gRCIvn3rwQeINzZQC2KXq31FaR9UmVV2QeGVqBHjmE%2BVMd3b1fhCynD0pQNhCG6%2FWCDbKPyE7NRQzL3BzQAJ0g09aUzcQA6mUp9iZFK6Sbp%2FYbHjo%2B%2B7%2FWj8S4YNa%2BZdqAw1hDrKWFXv9%2BzaXpf8ZTDSbiqsxnwN%2FCzK5tPkOr4tRh2kY3Bn9JtalbIOI4b3F7F1vPQMfoDcdxMS8CW9m%2FNCW%2FHILTUVWQIPiD0j1A6bo8vsv6P1hCESl2abrSJWDrq5sSzUpwoxaCU9FtJyYH4QFMxDBpkkBR6kn0LMPO%2B5EJ7Z6bCiRoPedRZ%2FP0SSdii7ZnPAtVwwHUidcdyspwncz5uq6vvm4IEDbJVLUFCn%2FLvIHfooUBTkFO130FC7CmmcrKdgDJcid9mvVzsDSibOoXtIf9k6ABle3PmIxejodc4aob0QKS432srrCMndbfD454q52V01G4q913mC5HOsTzWF4h2No1av1VbcUgWAqyoZl%2B11PoFYnNv2HwAODeNRkHj%2B8SF1fcvVBu6MrehHAZK1Gm69ICcTKizykHgGFx7QdowTVAsYEF2tVc0Z6wLryz2FI1sc5By2znJAAmINndoJiB4sfPdPrTC8RnkW7KRCwxC6YvXg5ahMlQuMpoCSXjOlBy0Kij%2BbsCYPbGp8BdCBiLmLSAkEQRaieWo1SYvZIKJGj9Ur%2FeWHjiB7SOVdqMAVmpBvfRiebsFjger7DC%2B8kRFGtNrTrnnGD2GAJb8rQCWkUPYHhwXsjNBSkE6lGWUj5QNhK0DMNM2l%2BkXRZ0KLZaGsFSIdQz%2FHXDxf3%2FTE30%2BDgBKWGWdxElyLccJfEpjsnszECNoDGZpdwdRgCixeg9L4EPhH%2BRptvRMVRaahu4cySjS3P5wxAUCPkmn%2BrhyASpmiTaiDeggaIxYBmtLZDDhiWIJaBgzfCsAGUF1Q1SFZYyXDt9skCaxJsxK2Ms65dmdp5WAZyxik%2FzbrTQk5KmgxCg%2Ff45L0jywebOWUYFJQAJia7XzCV0x89rpp%2Ff3AVWhSPyTanqmik2SkD8A3Ml4NhIGLAjBXtPShwKYfi2eXtrDuKLk4QlSyTw1ftXgwqA2jUuopDl%2B5tfUWZNwBpEPXghzbBggYCw%2Fdhy0ntds2yeHCDKkF%2FYxQjNIL%2FF%2F37jLPHCKBO9ibwYCmuxImIo0ijV2Wbg3kSN2psoe8IsABv3RNFaF9uMyCtCYtqcD%2BqNOhwMlfARQUdJ2tUX%2BMNJqOwIciWalZsmEjt07tfa8ma4cji9sqz%2BQ9hWfmMoKEbIHPOQORbhQRHIsrTYlnVTNvcq1imqmmPDdVDkJgRcTgB8Sb6epCQVmFZe%2BjGDiNJQLWnfx%2BdrTKYjm0G8yH0ZAGMWzEJhUEQ4Maimgf%2Fbkvo8PLVBsZl152y5S8%2BHRDfZIMCbYZ1WDp4yrdchOJw8k6R%2B%2F2pHmydK4NIK2PHdFPHtoLmHxRDwLFb7eB%2BM4zNZcB9NrAgjVyzLM7xyYSY13ykWfIEEd2n5%2FiYp3ZdrCf7fL%2Ben%2BsIJu2W7E30MrAgZBD1rAAbZHPgeAMtKCg3NpSpYQUDWJu9bT3V7tOKv%2BNRiJc8JAKqqgCA%2FPNRBR7ChpiEulyQApMK1AyqcWnpSOmYh6yLiWkGJ2mklCSPIqN7UypWj3dGi5MvsHQ87MrB4VFgypJaFriaHivwcHIpmyi5LhNqtem4q0n8awM19Qk8BOS0EsqGscuuydYsIGsbT5GHnERUiMpKJl4ON7qjB4fEqlGN%2FhCky89232UQCiaeWpDYCJINXjT6xl4Gc7DxRCtgV0i1ma4RgWLsNtnEBRQFqZggCLiuyEydmFd7WlogpkCw5G1x4ft2psm3KAREwVwr1Gzl6RT7FDAqpVal34ewVm3VH4qn5mjGj%2BbYL1NgfLNeXDwtmYSpwzbruDKpTjOdgiIHDVQSb5%2FzBgSMbHLkxWWgghIh9QTFSDILixVwg0Eg1puooBiHAt7DzwJ7m8i8%2Fi%2BjHvKf0QDnnHVkVTIqMvIQImOrzCJwhSR7qYB5gSwL6aWL9hERHCZc4G2%2BJrpgHNB8eCCmcIWIQ6rSdyPCyftXkDlErUkHafHRlkOIjxGbAktz75bnh50dU7YHk%2BMz7wwstg6RFZb%2BTZuSOx1qqP5C66c0mptQmzIC2dlpte7vZrauAMm%2F7RfBYkGtXWGiaWTtwvAQiq2oD4YixPLXE2khB2FRaNRDTk%2B9sZ6K74Ia9VntCpN4BhJGJMT4Z5c5FhSepRCRWmBXqx%2BwhVZC4me4saDs2iNqXMuCl6iAZflH8fscC1sTsy4PHeC%2BXYuqMBMUun5YezKbRKmEPwuK%2BCLzijPEQgfhahQswBBLfg%2FGBgBiI4QwAqzJkkyYAWtjzSg2ILgMAgqxYfwERRo3zruBL9WOryUArSD8sQOcD7fvIODJxKFS615KFPsb68USBEPPj1orNzFY2xoTtNBVTyzBhPbhFH0PI5AtlJBl2aSgNPYzxYLw7XTDBDinmVoENwiGzmngrMo8OmnRP0Z0i0Zrln9DDFcnmOoBZjABaQIbPOJYZGqX%2BRCMlDDbElcjaROLDoualmUIQ88Kekk3iM4OQrADcxi3rJguS4MOIBIgKgXrjd1WkbCdqxJk%2F4efRIFsavZA7KvvJQqp3Iid5Z0NFc5aiMRzGN3vrpBzaMy4JYde3wr96PjN90AYOIbyp6T4zj8LoE66OGcX1Ef4Z3KoWLAUF4BTg7ug%2FAbkG5UNQXAMkQezujSHeir2uTThgd3gpyzDrbnEdDRH2W7U6PeRvBX1ZFMP5RM%2BZu6UUZZD8hDPHldVWntTCNk7To8IeOW9yn2wx0gmurwqC60AOde4r3ETi5pVMSDK8wxhoGAoEX9NLWHIR33VbrbMveii2jAJlrxwytTHbWNu8Y4N8vCCyZjAX%2FpcsfwXbLze2%2BD%2Bu33OGBoJyAAL3jn3RuEcdp5If8O%2Ba4NKWvxOTyDltG0IWoHhwVGe7dKkCWFT%2B%2Btm%2BhaBCikRUUMrMhYKZJKYoVuv%2FbsJzO8DwfVIInQq3g3BYypiz8baogH3r3GwqCwFtZnz4xMjAVOYnyOi5HWbFA8n0qz1OjSpHWFzpQOpvkNETZBGpxN8ybhtqV%2FDMUxd9uFZmBfKXMCn%2FSqkWJyKPnT6lq%2B4zBZni6fYRByJn6OK%2BOgPBGRAJluwGSk4wxjOOzyce%2FPKODwRlsgrVkdcsEiYrqYdXo0Er2GXi2GQZd0tNJT6c9pK1EEJG1zgDJBoTVuCXGAU8BKTvCO%2FcEQ1Wjk3Zzuy90JX4m3O5IlxVFhYkSUwuQB2up7jhvkm%2BbddRQu5F9s0XftGEJ9JSuSk%2BZachCbdU45fEqbugzTIUokwoAKvpUQF%2FCvLbWW5BNQFqFkJg2f30E%2F48StNe5QwBg8zz3YAJ82FZoXBxXSv4QDooDo79NixyglO9AembuBcx5Re3CwOKTHebOPhkmFC7wNaWtoBhFuV4AkEuJ0J%2B1pT0tLkvFVZaNzfhs%2FKd3%2BA9YsImlO4XK4vpCo%2FelHQi%2F9gkFg07xxnuXLt21unCIpDV%2BbbRxb7FC6nWYTsMFF8%2B1LUg4JFjVt3vqbuhHmDKbgQ4e%2BRGizRiO8ky05LQGMdL2IKLSNar0kNG7lHJMaXr5mLdG3nykgj6vB%2FKVijd1ARWkFEf3yiUw1v%2FWaQivVUpIDdSNrrKbjO5NPnxz6qTTGgYg03HgPhDrCFyYZTi3XQw3HXCva39mpLNFtz8AiEhxAJHpWX13gCTAwgm9YTvMeiqetdNQv6IU0hH0G%2BZManTqDLPjyrOse7WiiwOJCG%2BJ0pZYULhN8NILulmYYvmVcV2MjAfA39sGKqGdjpiPo86fecg65UPyXDIAOyOkCx5NQsLeD4gGVjTVDwOHWkbbBW0GeNjDkcSOn2Nq4cEssP54t9D749A7M1AIOBl0Fi0sSO5v3P7LCBrM6ZwFY6kp2FX6AcbGUdybnfChHPyu6WlRZ2Fwv9YM0RMI7kISRgR8HpQSJJOyTfXj%2F6gQKuihPtiUtlCQVPohUgzfezTg8o1b3n9pNZeco1QucaoXe40Fa5JYhqdTspFmxGtW9h5ezLFZs3j%2FN46f%2BS2rjYNC2JySXrnSAFhvAkz9a5L3pza8eYKHNoPrvBRESpxYPJdKVUxBE39nJ1chrAFpy4MMkf0qKgYALctGg1DQI1kIymyeS2AJNT4X240d3IFQb%2F0jQbaHJ2YRK8A%2Bls6WMhWmpCXYG5jqapGs5%2FeOJErxi2%2F2KWVHiPellTgh%2FfNl%2F2KYPKb7DUcAg%2BmCOPQFCiU9Mq%2FWLcU1xxC8aLePFZZlE%2BPCLzf7ey46INWRw2kcXySR9FDgByXzfxiNKwDFbUSMMhALPFSedyjEVM5442GZ4hTrsAEvZxIieSHGSgkwFh%2FnFNdrrFD4tBH4Il7fW6ur4J8Xaz7RW9jgtuPEXQsYk7gcMs2neu3zJwTyUerHKSh1iTBkj2YJh1SSOZL5pLuQbFFAvyO4k1Hxg2h99MTC6cTUkbONQIAnEfGsGkNFWRbuRyyaEZInM5pij73EA9rPIUfU4XoqQpHT9THZkW%2BoKFLvpyvTBMM69tN1Ydwv1LIEhHsC%2BueVG%2Bw%2BkyCPsvV3erRikcscHjZCkccx6VrBkBRusTDDd8847GA7p2Ucy0y0HdSRN6YIBciYa4vuXcAZbQAuSEmzw%2BH%2FAuOx%2BaH%2BtBL88H57D0MsqyiZxhOEQkF%2F8DR1d2hSPMj%2FsNOa5rxcUnBgH8ictv2J%2Bcb4BA4v3MCShdZ2vtK30vAwkobnEWh7rsSyhmos3WC93Gn9C4nnAd%2FPjMMtQfyDNZsOPd6XcAsnBE%2FmRHtHEyJMzJfZFLE9OvQa0i9kUmToJ0ZxknTgdl%2FXPV8xoh0K7wNHHsnBdvFH3sv52lU7UFteseLG%2FVanIvcwycVA7%2BBE1Ulyb20BvwUWZcMTKhaCcmY3ROpvonVMV4N7yBXTL7IDtHzQ4CCcqF66LjF3xUqgErKzolLyCG6Kb7irP%2FMVTCCwGRxfrPGpMMGvPLgJ881PHMNMIO09T5ig7AzZTX%2F5PLlwnJLDAPfuHynSGhV4tPqR3gJ4kg4c06c%2FF1AcjGytKm2Yb5jwMotF7vro4YDLWlnMIpmPg36NgAZsGA0W1spfLSue4xxat0Gdwd0lqDBOgIaMANykwwDKejt5YaNtJYIkrSgu0KjIg0pznY0SCd1qlC6R19g97UrWDoYJGlrvCE05J%2F5wkjpkre727p5PTRX5FGrSBIfJqhJE%2FIS876PaHFkx9pGTH3oaY3jJRvLX9Iy3Edoar7cFvJqyUlOhAEiOSAyYgVEGkzHdug%2BoRHIEOXAExMiTSKU9A6nmRC8mp8iYhwWdP2U%2F5EkFAdPrZw03YA3gSyNUtMZeh7dDCu8pF5x0VORCTgKp07ehy7NZqKTpIC4UJJ89lnboyAfy5OyXzXtuDRbtAFjZRSyGFTpFrXwkpjSLIQIG3N0Vj4BtzK3wdlkBJrO18MNsgseR4BysJilI0wI6ZahLhBFA0XBmV8d4LUzEcNVb0xbLjLTETYN8OEVqNxkt10W614dd1FlFFVTIgB7%2FBQQp1sWlNolpIu4ekxUTBV7NmxOFKEBmmN%2BnA7pvF78%2FRII5ZHA09OAiE%2F66MF6HQ%2BqVEJCHxwymukkNvzqHEh52dULPbVasfQMgTDyBZzx4007YiKdBuUauQOt27Gmy8ISclPmEUCIcuLbkb1mzQSqIa3iE0PJh7UMYQbkpe%2BhXjTJKdldyt2mVPwywoODGJtBV1lJTgMsuSQBlDMwhEKIfrvsxGQjHPCEfNfMAY2oxvyKcKPUbQySkKG6tj9AQyEW3Q5rpaDJ5Sns9ScLKeizPRbvWYAw4bXkrZdmB7CQopCH8NAmqbuciZChHN8lVGaDbCnmddnqO1PQ4ieMYfcSiBE5zzMz%2BJV%2F4eyzrzTEShvqSGzgWimkNxLvUj86iAwcZuIkqdB0VaIB7wncLRmzHkiUQpPBIXbDDLHBlq7vp9xwuC9AiNkIptAYlG7Biyuk8ILdynuUM1cHWJgeB%2BK3wBP%2FineogxkvBNNQ4AkW0hvpBOQGFfeptF2YTR75MexYDUy7Q%2F9uocGsx41O4IZhViw%2F2FvAEuGO5g2kyXBUijAggWM08bRhXg5ijgMwDJy40QeY%2FcQpUDZiIzmvskQpO5G1zyGZA8WByjIQU4jRoFJt56behxtHUUE%2Fom7Rj2psYXGmq3llVOCgGYKNMo4pzwntITtapDqjvQtqpjaJwjHmDzSVGLxMt12gEXAdLi%2FcaHSM3FPRGRf7dB7YC%2BcD2ho6oL2zGDCkjlf%2FDFoQVl8GS%2F56wur3rdV6ggtzZW60MRB3g%2BU1W8o8cvqIpMkctiGVMzXUFI7FacFLrgtdz4mTEr4aRAaQ2AFQaNeG7GX0yOJgMRYFziXdJf24kg%2FgBQIZMG%2FYcPEllRTVNoDYR6oSJ8wQNLuihfw81UpiKPm714bZX1KYjcXJdfclCUOOpvTxr9AAJevTY4HK%2FG7F3mUc3GOAKqh60zM0v34v%2BELyhJZqhkaMA8UMMOU90f8RKEJFj7EqepBVwsRiLbwMo1J2zrE2UYJnsgIAscDmjPjnzI8a719Wxp757wqmSJBjXowhc46QN4RwKIxqEE6E5218OeK7RfcpGjWG1jD7qND%2B%2FGTk6M56Ig4yMsU6LUW1EWE%2BfIYycVV1thldSlbP6ltdC01y3KUfkobkt2q01YYMmxpKRvh1Z48uNKzP%2FIoRIZ%2FF6buOymSnW8gICitpJjKWBscSb9JJKaWkvEkqinAJ2kowKoqkqZftRqfRQlLtKoqvTRDi2vg%2FRrPD%2Fd3a09J8JhGZlEkOM6znTsoMCsuvTmywxTCDhw5dd0GJOHCMPbsj3QLkTE3MInsZsimDQ3HkvthT7U9VA4s6G07sID0FW4SHJmRGwCl%2BMu4xf0ezqeXD2PtPDnwMPo86sbwDV%2B9PWcgFcARUVYm3hrFQrHcgMElFGbSM2A1zUYA3baWfheJp2AINmTJLuoyYD%2FOwA4a6V0ChBN97E8YtDBerUECv0u0TlxR5yhJCXvJxgyM73Bb6pyq0jTFJDZ4p1Am1SA6sh8nADd1hAcGBMfq4d%2FUfwnmBqe0Jun1n1LzrgKuZMAnxA3NtCN7Klf4BH%2B14B7ibBmgt0TGUafVzI4uKlpF7v8NmgNjg90D6QE3tbx8AjSAC%2BOA1YJvclyPKgT27QpIEgVYpbPYGBsnyCNrGz9XUsCHkW1QAHgL2STZk12QGqmvAB0NFteERkvBIH7INDsNW9KKaAYyDMdBEMzJiWaJHZALqDxQDWRntumSDPcplyFiI1oDpT8wbwe01AHhW6%2BvAUUBoGhY3CT2tgwehdPqU%2F4Q7ZLYvhRl%2FogOvR9O2%2BwkkPKW5vCTjD2fHRYXONCoIl4Jh1bZY0ZE1O94mMGn%2FdFSWBWzQ%2FVYk%2BGezi46RgiDv3EshoTmMSlioUK6MQEN8qeyK6FRninyX8ZPeUWjjbMJChn0n%2FyJvrq5bh5UcCAcBYSafTFg7p0jDgrXo2QWLb3WpSOET%2FHh4oSadBTvyDo10IufLzxiMLAnbZ1vcUmj3w7BQuIXjEZXifwukVxrGa9j%2BDXfpi12m1RbzYLg9J2wFergEwOxFyD0%2FJstNK06ZN2XdZSGWxcJODpQHOq4iKqjqkJUmPu1VczL5xTGUfCgLEYyNBCCbMBFT%2FcUP6pE%2FmujnHsSDeWxMbhrNilS5MyYR0nJyzanWXBeVcEQrRIhQeJA6Xt4f2eQESNeLwmC10WJVHqwx8SSyrtAAjpGjidcj1E2FYN0LObUcFQhafUKTiGmHWRHGsFCB%2BHEXgrzJEB5bp0QiF8ZHh11nFX8AboTD0PS4O1LqF8XBks2MpjsQnwKHF6HgaKCVLJtcr0XjqFMRGfKv8tmmykhLRzu%2BvqQ02%2BKpJBjaLt9ye1Ab%2BBbEBhy4EVdIJDrL2naV0o4wU8YZ2Lq04FG1mWCKC%2BUwkXOoAjneU%2FxHplMQo2cXUlrVNqJYczgYlaOEczVCs%2FOCgkyvLmTmdaBJc1iBLuKwmr6qtRnhowngsDxhzKFAi02tf8bmET8BO27ovJKF1plJwm3b0JpMh38%2BxsrXXg7U74QUM8ZCIMOpXujHntKdaRtsgyEZl5MClMVMMMZkZLNxH9%2Bb8fH6%2Bb8Lev30A9TuEVj9CqAdmwAAHBPbfOBFEATAPZ2CS0OH1Pj%2F0Q7PFUcC8hDrxESWdfgFRm%2B7vvWbkEppHB4T%2F1ApWnlTIqQwjcPl0VgS1yHSmD0OdsCVST8CQVwuiew1Y%2Bg3QGFjNMzwRB2DSsAk26cmA8lp2wIU4p93AUBiUHFGOxOajAqD7Gm6NezNDjYzwLOaSXRBYcWipTSONHjUDXCY4mMI8XoVCR%2FRrs%2FJLKXgEx%2BqkmeDlFOD1%2FyTQNDClRuiUyKYCllfMiQiyFkmuTz2vLsBNyRW%2Bxz%2B5FElFxWB28VjYIGZ0Yd%2B5wIjkcoMaggxswbT0pCmckRAErbRlIlcOGdBo4djTNO8FAgQ%2BlT6vPS60BwTRSUAM3ddkEAZiwtEyArrkiDRnS7LJ%2B2hwbzd2YDQagSgACpsovmjil5wfPuXq3GuH0CyE7FK3M4FgRaFoIkaodORrPx1%2BJpI9psyNYIFuJogZa0%2F1AhOWdlHQxdAgbwacsHqPZo8u%2FngAH2GmaTdhYnBfSDbBfh8CHq6Bx5bttP2%2BRdM%2BMAaYaZ0Y%2FADkbNCZuAyAVQa2OcXOeICmDn9Q%2FeFkDeFQg5MgHEDXq%2FtVjj%2Bjtd26nhaaolWxs1ixSUgOBwrDhRIGOLyOVk2%2FBc0UxvseQCO2pQ2i%2BKrfhu%2FWeBovNb5dJxQtJRUDv2mCwYVpNl2efQM9xQHnK0JwLYt%2FU0Wf%2BphiA4uw8G91slC832pmOTCAoZXohg1fewCZqLBhkOUBofBWpMPsqg7XEXgPfAlDo2U5WXjtFdS87PIqClCK5nW6adCeXPkUiTGx0emOIDQqw1yFYGHEVx20xKjJVYe0O8iLmnQr3FA9nSIQilUKtJ4ZAdcTm7%2BExseJauyqo30hs%2B1qSW211A1SFAOUgDlCGq7eTIcMAeyZkV1SQJ4j%2Fe1Smbq4HcjqgFbLAGLyKxlMDMgZavK5NAYH19Olz3la%2FQCTiVelFnU6O%2FGCvykqS%2FwZJDhKN9gBtSOp%2F1SP5VRgJcoVj%2Bkmf2wBgv4gjrgARBWiURYx8xENV3bEVUAAWWD3dYDKAIWk5opaCFCMR5ZjJExiCAw7gYiSZ2rkyTce4eNMY3lfGn%2B8p6%2BvBckGlKEXnA6Eota69OxDO9oOsJoy28BXOR0UoXNRaJD5ceKdlWMJlOFzDdZNpc05tkMGQtqeNF2lttZqNco1VtwXgRstLSQ6tSPChgqtGV5h2DcDReIQadaNRR6AsAYKL5gSFsCJMgfsaZ7DpKh8mg8Wz8V7H%2BgDnLuMxaWEIUPevIbClgap4dqmVWSrPgVYCzAoZHIa5z2Ocx1D%2FGvDOEqMOKLrMefWIbSWHZ6jbgA8qVBhYNHpx0P%2BjAgN5TB3haSifDcApp6yymEi6Ij%2FGsEpDYUgcHATJUYDUAmC1SCkJ4cuZXSAP2DEpQsGUjQmKJfJOvlC2x%2FpChkOyLW7KEoMYc5FDC4v2FGqSoRWiLsbPCiyg1U5yiHZVm1XLkHMMZL11%2Fyxyw0UnGig3MFdZklN5FI%2FqiT65T%2BjOXOdO7XbgWurOAZR6Cv9uu1cm5LjkXX4xi6mWn5r5NjBS0gTliHhMZI2WNqSiSphEtiCAwnafS11JhseDGHYQ5%2BbqWiAYiAv6Jsf79%2FVUs4cIl%2Bn6%2BWOjcgB%2F2l5TreoAV2717JzZbQIR0W1cl%2FdEqCy5kJ3ZSIHuU0vBoHooEpiHeQWVkkkOqRX27eD1FWw4BfO9CJDdKoSogQi3hAAwsPRFrN5RbX7bqLdBJ9JYMohWrgJKHSjVl1sy2xAG0E3sNyO0oCbSGOxCNBRRXTXenYKuwAoDLfnDcQaCwehUOIDiHAu5m5hMpKeKM4sIo3vxACakIxKoH2YWF2QM84e6F5C5hJU4g8uxuFOlAYnqtwxmHyNEawLW%2FPhoawJDrGAP0JYWHgAVUByo%2FbGdiv2T2EMg8gsS14%2FrAdzlOYazFE7w4OzxeKiWdm3nSOnQRRKXSlVo8HEAbBfyJMKqoq%2BSCcTSx5NDtbFwNlh8VhjGGDu7JG5%2FTAGAvniQSSUog0pNzTim8Owc6QTuSKSTXlQqwV3eiEnklS3LeSXYPXGK2VgeZBqNcHG6tZHvA3vTINhV0ELuQdp3t1y9%2BogD8Kk%2FW7QoRN1UWPqM4%2BxdygkFDPLoTaumKReKiLWoPHOfY54m3qPx4c%2B4pgY3MRKKbljG8w4wvz8pxk3AqKsy4GMAkAtmRjRMsCxbb4Q2Ds0Ia9ci8cMT6DmsJG00XaHCIS%2Bo3F8YVVeikw13w%2BOEDaCYYhC0ZE54kA4jpjruBr5STWeqQG6M74HHL6TZ3lXrd99ZX%2B%2B7LhNatQaZosuxEf5yRA15S9gPeHskBIq3Gcw81AGb9%2FO53DYi%2F5CsQ51EmEh8Rkg4vOciClpy4d04eYsfr6fyQkBmtD%2BP8sNh6e%2BXYHJXT%2FlkXxT4KXU5F2sGxYyzfniMMQkb9OjDN2C8tRRgTyL7GwozH14PrEUZc6oz05Emne3Ts5EG7WolDmU8OB1LDG3VrpQxp%2BpT0KYV5dGtknU64JhabdqcVQbGZiAxQAnvN1u70y1AnmvOSPgLI6uB4AuDGhmAu3ATkJSw7OtS%2F2ToPjqkaq62%2F7WFG8advGlRRqxB9diP07JrXowKR9tpRa%2BjGJ91zxNTT1h8I2PcSfoUPtd7NejVoH03EUcqSBuFZPkMZhegHyo2ZAITovmm3zAIdGFWxoNNORiMRShgwdYwFzkPw5PA4a5MIIQpmq%2Bnsp3YMuXt%2FGkXxLx%2FP6%2BZJS0lFyz4MunC3eWSGE8xlCQrKvhKUPXr0hjpAN9ZK4PfEDrPMfMbGNWcHDzjA7ngMxTPnT7GMHar%2BgMQQ3NwHCv4zH4BIMYvzsdiERi6gebRmerTsVwZJTRsL8dkZgxgRxmpbgRcud%2BYlCIRpPwHShlUSwuipZnx9QCsEWziVazdDeKSYU5CF7UVPAhLer3CgJOQXl%2Fzh575R5rsrmRnKAzq4POFdgbYBuEviM4%2BLVC15ssLNFghbTtHWerS1hDt5s4qkLUha%2FqpZXhWh1C6lTQAqCNQnaDjS7UGFBC6wTu8yFnKJnExCnAs3Ok9yj5KpfZESQ4lTy5pTGTnkAUpxI%2ByjEldJfSo4y0QhG4i4IwkRFGcjWY8%2BEzgYYJUK7BXQksLxAww%2FYYWBMhJILB9e8ePEJ4OP7z%2B4%2FwOQDl64iOYDp26DaONPxpKtBxq%2FaTzRGarm3VkPYTLJKx6Z%2FMw2YbBGseJhPMwhhNswrIkyvV2BYzrvZbxLpKwcWJhYmFtVZ%2BlPEq91FzVp1HlQY1bZVLqeNR9SAUn6n0E28k%2FUuGkNpP1DBI5ch%2FEehZfjUQ9aE41NhETExoPT2gGQz0IhWJbEOvTQ4wgcXCHHFBhewYUiFHuhRSAUVmEHeCRQHQkXGFwkAgyzREJCVN7TRnTon36Zw3tPhx4EALwNdwDv%2BJ41YSP4B2CQqz0EFgARZ4ESgBHQgROwAVn9GTI%2BHYexTUevLUeta4%2FDqKrbMVS%2BYqb8hUwYCrlgKtmAq1YCrFgKrd4qpXiqZcKn1oqdWipjYKpWwVPVYqW6xUpVipKqFR3QKjagVEtAqHpxUMTitsnFaJOKx2cVhswq35RVpyiq9lFVNIKnOQVMkgqtYxVNxiqQjFS7GKlSIVIsQqPIhUWwioigFQ%2B%2BKkN8VHr49HDw9Ebo9EDo9DTo9Crg9BDg9%2FWx7gWx7YWwlobYrOGxWPNisAaAHEyALpkAVDIAeWAArsABVXACYuAD5cAF6wAKFQAQqgAbVAAsoAAlQAUaYAfkwAvogBWQACOgAD9AAHSAAKT4GUdMiOvFngBTwCn2AZ7Dv6B6k%2F90B8%2ByRnkV144AIBoAMTQATGgAjNAA4YABgwABZgB%2FmQCwyAVlwCguASlwCEuAQFwB4uAMlwBYuAJlQAUVAAhUD2KgdpUDaJgaRMDFJgX5MC1JgWJEAokQCWRAHxEAWkQBMRADpEAMkQAYROAEecC484DRpwBDTnwNOdw05tjTmiNOYwtswhYFwLA7BYG4LA2BYGOLAwRYFuLAsxYFQJAohIEyJAMwkAwiQC0JAJgkAeiQBkJAFokAPCQA0JABwcD4Dgc4cDdDgaYcDIDgYgUC6CgWgUClCgUYUAVBQBOFAEYMALgwAgDA9QYAdIn8AZzeBB2L5EcWrenUT1KXienEsuJJ7x5U8XlTjc1NVzUyXFTGb1LlpUtWlTDIjqwE4LsagowoCi2gJLKAkpoBgJQNpAIhNqaEoneI6kiiqQ6Go%2Fn6j0cS%2Ba2gEU8gIHJ%2BBwfgZX4GL%2BBd%2FgW34FZ%2BBS%2FgUH4FN6BTegTvoEv6BJegRnYEF2A79gOvYDl2BdEjCkqkGtwXp0LNToIskOTXzh%2FF062yJ7AAAAEDAWAAABWhJ%2BKPEIJgBFxMVP7w2QJBGHASQnOBKXKFIdUK4igKA9IEaYJg%29%20format%28%27embedded%2Dopentype%27%29%2Curl%28data%3Aapplication%2Ffont%2Dwoff%3Bbase64%2Cd09GRgABAAAAAFuAAA8AAAAAsVwAAQAAAAAAAAAAAAAAAAAAAAAAAAAAAABGRlRNAAABWAAAABwAAAAcbSqX3EdERUYAAAF0AAAAHwAAACABRAAET1MvMgAAAZQAAABFAAAAYGe5a4ljbWFwAAAB3AAAAsAAAAZy2q3jgWN2dCAAAAScAAAABAAAAAQAKAL4Z2FzcAAABKAAAAAIAAAACP%2F%2FAANnbHlmAAAEqAAATRcAAJSkfV3Cb2hlYWQAAFHAAAAANAAAADYFTS%2FYaGhlYQAAUfQAAAAcAAAAJApEBBFobXR4AABSEAAAAU8AAAN00scgYGxvY2EAAFNgAAACJwAAAjBv%2B5XObWF4cAAAVYgAAAAgAAAAIAFqANhuYW1lAABVqAAAAZ4AAAOisyygm3Bvc3QAAFdIAAAELQAACtG6o%2BU1d2ViZgAAW3gAAAAGAAAABsMYVFAAAAABAAAAAMw9os8AAAAA0HaBdQAAAADQdnOXeNpjYGRgYOADYgkGEGBiYGRgZBQDkixgHgMABUgASgB42mNgZulmnMDAysDCzMN0gYGBIQpCMy5hMGLaAeQDpRCACYkd6h3ux%2BDAoPD%2FP%2FOB%2FwJAdSIM1UBhRiQlCgyMADGWCwwAAAB42u2UP2hTQRzHf5ekaVPExv6JjW3fvTQ0sa3QLA5xylBLgyBx0gzSWEUaXbIoBBQyCQGHLqXUqYNdtIIgIg5FHJxEtwqtpbnfaV1E1KFaSvX5vVwGEbW6OPngk8%2FvvXfv7pt3v4SImojIDw6BViKxRgIVBaZwVdSv%2BxvXA%2BIuzqcog2cOkkvDNE8Lbqs74k64i%2B5Sf3u8Z2AnIRLbyVCyTflVSEXVoEqrrMqrgiqqsqqqWQ5xlAc5zWOc5TwXucxVnuE5HdQhHdFRHdNJndZZndeFLc%2FzsKJLQ%2FWV6BcrCdWkwspVKZVROaw0qUqqoqZZcJhdTnGGxznHBS5xhad5VhNWCuturBTXKZ3RObuS98pb9c57k6ql9rp2v1as5deb1r6s9q1GV2IrHSt73T631424YXzjgPwqt%2BRn%2BVG%2BlRvyirwsS%2FKCPCfPytPypDwhj8mjctRZd9acF86y89x55jxxHjkPnXstXfbt%2FpNjj%2FnwXW%2BcHa6%2FSYvZ7yEwbDYazDcIgoUGzY3h2HtqgUcs1AFPWKgTXrRQF7xkoQhRf7uF9hPFeyzUTTSwY6EoUUJY6AC8bSGMS4Ys1Au3WaiPSGGsMtkdGH2rzJgYHAaYjxIwQqtB1CnYkEZ9BM6ALOpROAfyqI%2FDBQudgidBETXuqRIooz4DV0AV9UV4GsyivkTEyMMmw1UYGdhkuAYjA5sMGMvIwCbDDRgZeAz1TXgcmDy3YeRhk%2BcOjCxsMjyAkYFNhscwMrDJ8BQ2886gXoaRhedQvyTSkDZ7uA6HLLQBI5vGntAbGHugTc53cMxC7%2BE4SKL%2BACOzNpk3YWTWJid%2BiRo5NXIKM3fBItAPW55FdJLY3FeHBDr90606JCIU9Jk%2BMs3%2FY%2F8L8jUq3y79bJ%2F0%2F%2BROoP4v9v%2F4%2Fmj%2Bi7HBXUd0%2FelU6IHfHt8Aj9EPGAAoAvgAAAAB%2F%2F8AAnjaxb0JfBvVtTA%2BdxaN1hltI1m2ZVuSJVneLVlSHCdy9oTEWchqtrBEJRAgCYEsQNhC2EsbWmpI2dqkQBoSYgKlpaQthVL0yusrpW77aEubfq%2Fly%2BujvJampSTW5Dvnzmi1E%2Bjr%2F%2F3%2BXmbu3Llz77nnbuece865DMu0MAy5jGtiOEZkOp8lTNeUwyLP%2FDH%2BrEH41ZTDHAtB5lkOowWMPiwayNiUwwTjE46AI5xwhFrINPXYn%2F7ENY0dbWHfZAiTZbL8ID%2FInAd5xz2NpIH4STpDGonHIJNE3OP1KG4ISaSNeBuITAyRLgIxoiEUhFAnmUpEiXSRSGqAQEw0kuyFUIb0k2gnGSApyBFi0il2SI5YLGb5MdFjXCey4mNHzQ7WwLGEdZiPPgYR64we8THZHAt%2BwnT84D%2Fx8YTpGPgheKH4CMEDVF9xBOIeP3EbQgGH29BGgpGkIxCMTCW9qUTA0Zsir%2BQUP1mt%2BP2KusevwIO6Bx%2FIaj8%2FOD5O0VNrZW2EsqZBWbO1skRiEKE0DdlKKaSVO5VAuRpqk8VQJAqY7ydxaK44YJvrO2EWjOoDBoFYzQbDNkON%2BUbiKoRkywMWWf1j4bEY2iIY1AeMgvmEz%2FkVo9v4FSc%2FaMZMrFbjl4zWLL0%2BY5FlyzNlEVYDudJohg8gPUP7kcB%2Fmn%2BG6cd%2B5PV4Q72dXCgocWJADBgUuDTwiXiGSyZo14HOEQ2lE6k0XDIEusexDzZOMXwt1Dutz%2BtqmxTvlskNWXXUQIbhaurum9GrePqm9Yaeabjkiqf%2BbUvzDOvb2Y1E%2BEX2DnemcTP%2FzLcuu7xjQXdAtjR0Lo5n4%2FHs%2FGtntMlysHt%2B29NXbH6se%2F%2FWbFcyu%2Br28H0MwzI30DYeYTLMXIA2EG8QlHpAsyS0EfEToR0a3utIxFPJ3kiIHCCrZ66b0e2xEmL1dM9YN%2FMwS5p01N5jMX%2FBLKt%2F1R83l0LyC29M6%2BiYxo%2FUNg%2FEF7c2WyyW5tYl8WnhWg2%2FhyySbD5UhnDyS7OcU0dnrFw%2BDfGdI7v4QfYIIzOMq9hFtY55gmvC7jZ2FK7sEdrn6IXBuucYhjsGdQ8z0yEbWkkczjjsE5hNAIZrPx2zOLZDmKNXcXtg7EMqidAEEWg%2BSJCBBNwxvxJfc%2FbZa%2BKKf%2BxoKZybnq5vaqpPTye7CiF%2BZFjxZ8%2F7Qij0hfOG%2FcowPA1rT1l4ymWnrKmxxqfErTVrpgwPlz1kC%2BOy8NMDz6c%2BIO38K%2Fx0xkPnLW8Kx6qGAoQdL%2BTD9V9rb%2B%2Fctn%2F%2Ftrxz8dUrZrD%2Fzk%2FferF0cNt1BzctmX2FZPXt%2FjnFCQNz4Ah%2FiKllGiCMs1w5Lkg0kiEwj6VTXCDKsX9rMpnvIj9pcDecXAIXMnqn2dTUbN6w0XQ9ue6FV%2FnnXCH7S3lPWGltVcLsH75ub3ab7A8M28caNrIeOr3o5Q0yFsYL80xaa0EY%2FUEczV7icUMY5pnelAkmUAXmHYjvFWFGxuqlSaow3OM%2B%2FiYY7%2Fl%2FhVELF4EjRqNR%2FbvRbOY%2BDUGzGR%2FOh3EqmE%2FugIQQguGt%2FeMYz%2F%2BL0cimjeZfQDI3phXMbMQsqH%2BCjwVz%2Fhf4idHovgVmB8gLvjbicDcC%2FNypP536E%2F9N%2FpuMibExdohBmNwyiaZdJGoigos7GpF222xrfnZhML%2F7Z%2BylaqP63Hr%2Bm7bdUkQ6%2F2cXqdfmvwixY%2Bs2ksXFeXcE%2BiX0Z%2BIow76DBNgjJ7TOdUK18iPsPflfQD%2BDPsZG2Aj9VmKMMJ4fYRrhIaxhTDR0Elh2vA6h%2FAE6xUb29mj3sjmL72petXjejPy%2Boel60M99tFduCI59N3221xe7apOvxs6aHs7vab1IqY2tv7q2xsHeHGml%2FcV06u%2F8S%2FxTjJ%2BJYc0bWEX0ukW6YmIbGkJRMdjJ9mYIH5QIdJF4hvRGyK7cC7ctImQRcUET99fGXOoft35GYLMQu%2Bg2smnkgZUrH8AL%2F9Si217IssJ916nv14ZrJrvdxLkQvrvtBcjgPC0NXOicO8Qf4mcxPqh3hgUw3DDfdvLJXngg7N3dN2zbPJSaed3OfZnMU7dvmznp3C3bruO%2BNmue0LFsy7S%2B6265%2BfCKFYdvvuW6vmlblnUI8xCXp37CrOZv4B9gauDBlYp7adcUXB5DNCwYImlXOJJKkAdvExXxVvKEYnCo%2B3eIskP9qrrfIYs71CccBjfXRC52udTHHdaP1A1ui%2FVvH1otbrLrpNXBsGX5B89QghDyimlvNB2KfkxZ5C9%2Fem3%2Bd1%2Bd%2F%2FIfFp2%2B2Oxn%2Fs%2B9n%2F79p39S3s8idN6g0yZObwJOgKUpNB3GyU0Ls0PbRzIRq4lcarLKOJBkLRzJQD4j2090XrbA7DW8K3jNF5hlGS5e4V2D17zgss4T20egOJte5iD0bReM9yjTxnQxCRj3c5kFzGJmGbNKmwGw39IJDJcXJZGMkaAB4jyJAKw0jt5IAuIE%2BA%2BU3cVAZZrq9zhDyBrU8oosuxcGNTzCKJfla7JjNVmuSb%2F%2BtuzN2H%2BX4vlB%2BPpdfMXXmuVsNiub1T34SFbjYw5itEvVi0K0Nt9pNJUMI7SLGRhf2xipfCYf8z5OdlGKayOucFeVPeS%2Fdbo3lBrbSMmwUiQN5%2Fed7g0Ds1s17IuZC5kNzM3MZ6EWCa0DtekdJfAxz%2BR%2FOX28sND7yRMTBcf%2B%2Bs8mQCQWHya4qBv%2FufeMoWyslPA9DtMxUknxkH%2FyfTnm2CMYzs%2BCq3r7PxY%2FMXomrvTEsRpfEGHa%2BWN8E1AHjElb7d06ddA7oK%2F%2B5Mdsv9EtPms0jv0Z5kf1FqPxWdFtfFr0kHfgDX0Y%2B5PRSG7RUj0tQr7rmfX8DH4G5W28kKeJLtmQsQkuwMP1pk16EV4sl7vrMJATfyUWo%2FGwEco4rh4XFQgaiUX9qxZHrMQqKnz%2Fc2d8b9TysYrAuXpP%2FRf%2FGr8b1qwwc5a%2BeuLa6S6sneNXToG2XrEJi4R5SGs8Sq2S3d97bsfCRaTdaLwKClRHt37mkudvXbjwVrLhuYeGhh56bvfQkHpk2CwvwClqgWwuBfndC3c8dwmstj81KkagcUgbfPY8Zje0W%2F82VPWJHmSq6pP8hPWpotc%2FEexDOK3qU%2BwngPhOCiO9MJRm8TJefjelrzoKnG2Bn%2B1NCUmPE4gHFmBN9jrTigRIpsACrc9Gstg58ULkp9467%2BGf%2FeFnD5%2F31lNrt2967dhrm7bzI%2BVT5m%2BfzKhvf2MzpICEm79Bopkn07lt1762adNr127LwVqQLdJ5%2BlpQDcvHPQtVY5knhYrK6q8%2FJsiP6EuhGZdFdaNszjvpqvc%2BPI0CdjN0AXsFOC3ZfALDJwr4q2Xq%2BGF%2BGNbsxUg5NLLIEXi8otcDQcUts0D8eQ1iVDRAMBTsYiNdRIxE09EIBJO9A2xqgERTaW86BUFn0OD2xFO97FAgFhF6OoQ7prYt4XwSeUgQHiJyDbeke9IdQntciLQ1FlJMaYcUNvZBg%2BFB1ubjlnRNvl3o6IEU2w7fdNPhm%2Fhh%2BFLysUu6%2B%2BDLHkOkrSHYEjH0tEPe7WdD3uyDgvAgK%2Fm4szFFR7ch0toUgBTdWHr7EpaWru6%2B6dmbbnqWEbV2EtxAsXiZAPTtGPSbHsotI2leoM8TePEqgSQprs7AGFf8kuOkPdZPXGb55POAW1d%2FjLST9v5YflasP6v%2FCO7%2BGNAPC2BMZWmsOjp2NNbfHwMCJD%2BLPVL%2BD%2FOYlWEEI%2F9jpPddOFkB5d1GSuKZYggmCCd7JUxD7EXAzxyirYnNDLdDZoFdx14kivkvGc3579Jm36reTTvDgBnaO6vzyQ6chQmlsMoIkIQ2%2BbBDWBud1Va4pcCn8CPqxlh%2FfgtG8IPaPH8C5wk6%2FnZDv69jurV5QhtwE0x2iqOsj9Mx8B9%2F0EaUdiPfOYYDCi%2Fq9jhWRuupMDEU0%2BCtX0sDFxv07T%2FK5niBPqN9%2BtQjgEc31NGCXFeMcCEuQBIc%2FBK4CO78u7EPYvl3yaEfK3vcb6qP1R2tI7vUjVDDUdKubsSrNjYKY1qBEa2P50SJoaXiksIoLiCwnxS6EBuBde87botNfdEWwYvF%2FR0%2Fu5yCqhGeEOR2ynSeyXjt6ka7neyye8kryBSWE52y%2BRBgogrXPZ8E1yIHoHIFUM%2BAbJhE7lbMtt8ApL%2BxmZW7PwbjAO0fAVoXQOuiSP%2FksIVdFZ0aulsamKUzwPZ%2FNYDMJRBPCxsBqLzqHyneXF6Ej9HlIFo7%2Bpg%2BjUb3unRmGpstGkm6etOuDBGA5wCMefp1gTHcdZlvPBXlOslvYTp1cd8UjYLVd%2FJ5awNrIOKLnIt9MD9qdrKrWCvA6ALm3QV9VrsPm60Q7%2BRHJHP%2B2hqfugo%2FMvI2H%2Fmqr4b9tFnKSRY1Y5Ek80Nm%2FWIhr1ikKnxGz9TWXrokf9xwujfvcOTtNTWnxd0F37Y2W79tteBqZ4G5qLCuomw%2BnSr28QESCRVLTyYKILGJOPfcnaIFOsewhRdvv%2BrWa%2FWih0vlbX6Zb75T5C0qNKVFvH1QL%2FvazSWgC2s6oWXXIuUxQelKiJbowuJDQViatLmLijg9CQBMg8WiPgiw3LEeYRmm5f%2BXdnvkDnxLLjMLxtvX74C3OlwPQqx4xwIdpPx38LrlDphiyWUWHWKAzzxurS%2FxTo%2BP5wGFak62ap1PVFFN4v%2Fy%2BxuR39WnIO7lsWfwgVsK17wxrs9K8ltIKuhkw7f%2F6dhK6gQokFKhWX3urrjk%2FrnI0pgfpGMeuQIUaEM7%2BGF5q2iMkCaMQwxxOzcvU0eXbsnS9XknXvP7Gtw5dwPXlFu2ecvSHEZgNDsU6x%2FGdXBYXyOQjzZReSedeEPY6nEv9gJR4oBQJtFO6Kd0fwC6BO4LNHDeBujB6dSNcUQC9zIv2LnAzGk99bUDrdFY%2B9yGFQtEo0GQPNv6vS2drj4%2B1jHbv3aJSMUWP%2BQTZrmbNTjU8wyG%2FiXNNpskybLcJ3CiTF5Ir%2BJYzmJwE0mSVhlxbtbmvweB3ulB6Til5UuUZydpgiFVeobhU0WaBqpJ198d%2B%2FXeNRTZ9%2F1OPfG7%2B2hwzd5W3D%2BhmyjsRcUg%2F%2BCavb%2B%2BVh2ls3L7zT%2FetOnHNxeerv313vzLVqPai4nJv%2BK1FC6040%2F4udw7sAb3laSg0XCkAAs0npBO6VJabS4Elk%2FU%2BD4gTXW%2Bj0wnrMlqNamq4tMIYB87tE10i0FR3LZNhJsb7%2FR561btmes8YBCRkhYNByRtKd55mqTas9FYhJnbRGHuOh3M4QTdgQSqmgRxuzGdSvZGcbMxNQGk5C3ebLjoXIOFM4l%2BWKHmLTJwRv9E8GWJ6dYvf%2FFmEyEGr%2Bgyrr1p5zrgkz0Cw2j94Hv8Jdx7dIVegBSNtgsqGsRQEYiIBoXwD0LNvQ5d7s5Z00QzwNhqZA0b%2BtMG1tQq5nd84uq8R0zPvX35G8uRaze4jcOHzz0w1%2BQ2BIRvf6J6Kgatnrbiem%2BCFvAxfkrndzD9MFPP1GWTUHclpASUkCNAQkpCCcCgDSUDAhDZ%2BCuEkgn8J7i9nMA7pA4lISappxILKfAeSAbIcSDuN2bJcfZILqeO5rLs0MnngSHYRdrHjmaz7JEsEPw51ZqDJDmUIOZIe34WaQeegNsJn1qz8AIpT3yCjyEih%2FxELkuJ0lEMYTLVCiWpo5oYMleMH6USyYJcD%2BuOe%2BkWKpn1Qns34iyYDjkSLvgnZXcgVQNeqINXr48m3iS7cjm8tedyY0f1QvTnHHdsrKby%2F%2BSSbPY8%2FNH6vpl%2FEsq3Ae4ZU1HC44KFiI9o7CEgab%2FRqHbj7s5KAg06s39ZP%2FzxI%2FmVuF%2FTbTSy%2B3Fb8If9%2Fcv7%2Bwt91yy8RfP1QXtW5RzQn7qIiZyuFM5QfJ5E9uVnqT85TanFx0lkP3ukBAMprvsRyi%2FC8NAJL1xbIIirSvnSj4O5netb4JxmNANHPssHAcHMHsFRgEug816gDBeMbdfiuRcghqYcm0%2BXxx%2F5IAEtN3fqFF3LzAXqwoT0PN0OVTNqxo8sxMkd5Ig6k79Zk7VxxX6gMLOZFQgvpW2RrMW1D0BDihaXQ9wVRoBxPLfpknmkeMtoB%2FqM9cRc9IqmMD2XUmdZ7GSRKPUZvChf8BoykriM2MnKYbOHX8R7cLdNCxSFFVQqoYswnlWtlFS2mNkhswVpZiQW1J%2FUKFfipHGlUkM6UKBhMz1istELIHJLMSctu3ugzfaVSOjKvUgc%2FTHK4Sdg2Wscz69leKIkkrwuuWiOe9yGYKQXRumkC3qbRcMwrvhjNXgdZk3RxAUEhuSPvn3nnd%2B%2BU%2F3vlVOmrJzCD8JLxV1OHRjrZifbcFDOuRNTGqdgQm1tSNJ2OcQ04YiEXuxtII1ECSQRoQGYioEsgCfchB4ghAtw7FfJre4WZ9hkVi9MtjuWqtdNDlpMrfEG9fOT6q21okg%2Be4As38MfGquNt7oUws6Ysarj1%2FefE%2Byst86YUVNvDdts3Pv5c8m%2FaP0C%2Bf8%2FQb%2BIMnGq09BgwN01oIOAnAdagI8mBSrqk1gxTDUBOtk2ousEtBH2z4Ir2d3f6k8PXXVlt2qN9RODxRuoJT%2Fv27wm09jRYVc%2Fe%2B%2Biyx2tyzJb%2Fn3J0htXP87eSsQaf2Ly0s6Zmxela88REy1cf4273mI3iXNJ7KxrZibOm9xm6rl4fqy%2Ft27smU8tOfdW2ucBzg2UfmOIVyLIl3kpYlwphDISTXJXsctmiDtN7fNV6zelgxwnWxsVr83Aj%2FS5ki1jL%2Fa0GC6%2B2L6Um%2BaoddlNFuj%2BbJ8mH%2FiaLh8I0%2FU51NspIEfq0dohwyFXKgm4NggwQ4rRhCOUFtxxo8XnitT4cnGfT93IS8FaT85XE3H5LMY4zIEPL1hw443wz%2B1UmhTJyJGxZzw%2BwsKkKZgUiVtKOKMEb2AKHTv61FNc01PQFwKnvsZ%2F9pPA4RKTASWahmh%2B8MxwzHxKy74IRn5LGRjsPUUwTu64UYNY38caqd7HKucZ%2FtHnODtENw%2F2UfHRMaq1UUPDJQ0OKkWCeet5fYOhII1VRz8%2B%2FElg5j4Gxur3J8o2PJ4rg%2B2d08T%2FfwEzSVbyZ9XPro95T477lRKqUSRXQnauHNsISAl27oWi6Fv9z48JMv8r%2FaMMj8onCP%2FDuDZOuN%2BGPPr%2F%2Bp7bx%2B7JlbYdppcNhzKU%2F1Px5aiaGDn%2Fs1iGMaBcleKUo%2Fv9rcxkZj7DBEKOfrayytXNLYiUdBY%2BpleQXdnscKlQcpzuWluxsieeyuXIK6SdxozitWyGOV3vOHHjguyCQ6fpIYy2JwvrQEF%2FQa9Pdf%2FQqOSqCiE%2FEE1%2FXIVKTc2tzWbHnimrEd%2BVyz311Ml3P0GVTj7PD5aDnsvCvH36alEaPMePcMegXs7x8igTu4B9v7G9vTHvhCu%2FkzIdx%2BBxC0ay9zRSvoS0F2lIxI%2BX7klU63I40gLQ3w5ep5na%2BSFnba3z5D64zv%2BQtM4n4ffG3tq4aNHGRfxgrXPMim%2B5487abL7xhdseIRn1KDl%2B7aINixdv0OD%2BJSPwKf5%2BxoP6aiTeQIDVlIhMcL1H5R9PYXvprs3fv2bO7MOplCmweuiq2JRZ1zz%2B9a%2Fv2PH1Hfz9236w%2BZrPXvWfAxlj4NLLHpq3c%2FPQ3uvmvbrjG7fe%2Bo2y%2FcLdtE6VUlXi0ASb1VLUBVSUWSU4HdvAraTyS8xzM8NxvxFkXV6pUVRiJwcgC5zEeht4rwcp7ki0k41G0qlQhG1Vzlq8alEmnFi58caB5Q9vn988MLhqyVlHvLEWjtQFeupdiocF%2FtkkOGPW2ibWaBTkeZ%2FdvPWazXfOnnvL6jkRXpi85sFzZt%2B55ZptW3bl1cCCHZPD06MhySha7UFzjcjbp8fOecFCirzAG%2FyVjBX6OFIaadSjQq1nNhyIe8tVbaaSdHlXIWKacMeuZA1uxS95zILhyrxAdsXTL6m7kNQlx2P9uZf2qhufePFFbpI6%2FOU0WcP99RrCsrwseVot5mtytpf6Y0gm9sdeyKnPQ7onyK4nXlR%2Frg7H95M1upzu89DH6pgUcikoiihJ6NJKmRxV1x%2BMJiOA3YwhDRQrWU0u%2F0rvq0VYXnyCwsLeTJYBq3dAtJDavuzyoVpzZ99Z0%2Ba0uoiFH%2FxcqgDR7rUFeOrUn6Cywb8ZeNMbhLV5ugP9l0zv9UN5b5mFkjzxUcpPJCn3V402pRxtJd2GrnLdhtVk9ZSZh9W91fCSH5B7ofxPiWL%2Bj3D%2FuwhBRdyAyozeZwvQzs79soi%2BBKSnafLviZCcfrpBpLyimfLfTyJtbyruIQKD01tUwJyKEo%2FybaxkSNFUMdMkhQoJyRBQFhnUkDQSXhTM%2B3NmY0EDM7ffLIjqWEGt8lCO6mLia3PukFnghosJD5p5SIho%2FVDkzQfLE%2BIrYoJXkD19pdP7OwG%2FvoIUtagiWiZ4PAFTHHlTVhRZ7dYmPar%2BNJ%2B8JhmR6DFK5DV1foHoLNO%2FpHrvZfmWZ15RQlwvoVDKhCWNK3CCch9lfFBuAqUgpFSShmNaPj%2Bi5%2B%2BWZfKeViJfW5HnUakVL4UCNVkA4%2BETfIqx4B5xSaP2L1yn0zn2ltPn4%2BOqZGmwwEVCaCSqG53ldtL1oLGAhdMLd09MpCCF6tD6ZnAZBY9hDaYsP0jzZ0j5ZjKsF4i1UmLuhbJMCnYJPt5VwFNvmZawXjEvLJqIH8STonZjq7BZ8gKgR20C9MDFqJAX1H64QW2NEup6qgzLP8cvppL%2FNNTOBTCJABOHeWoXzLhw4Wuy7gaBtjKr9kgKq8ZlRYBS32Lpxc8vIhpNDTfyNXWybMJbn2RyQ5EmWc2QF9wmSZ0KYCE%2BcPuYO6b15Uotj2Kd4MItLS7gtFbkTdrFND6pvEZqv5Yv7jXAus7Pg7avo7KDot50NX3CPkP%2BKps8J9%2F3mGQIteY%2FLGPC%2BL7872SPR2br5fy8MtKBMHedGuM28%2FMZmPJMrGgi3Gb1S%2BSi1%2FL%2FzrZwO9XH1ce%2Fz7ZQ1WSoY%2F%2BpMb5FT4ua0Wm%2BJf%2F298nFmChEQ%2BTi71est4mq9VYI6RsymoRJKYidElT2FGnDTZvqtfhGAFTbeqEw68GqtfmbVa%2F1IFO1%2FjdWr%2F8BDRRtQh9XNjubEm4aWVpVonpTGR7PVGc%2BKJNoBIWF7kYi4gUV3r1U6723i6TxUl3n3%2FtM27aZfKb7THiHW9VzFSwHJ05VfK6Ar7kaB0XgPPE0BSkSFKsBUpaLihEWoA9wBt8qirh2VSOkZwXEwyrxZ5jyt2rJmSo9gX7cg6jsEUGJU9z9xJPOEM3uQQxKgkh35DNATnVyrmJ3mbCNyIB%2Fyox4wH1bg2DwN7q9kov4pFqny8oSm3RQbGgJ1QQTs6ZMLilOVYJ9v6Wha3HcJ9jddsXp9YhGUXLXt%2FqMDnvLpPNTXfNa60z5%2FyjXQOMq%2BlNmwh5egpYrdfZQZV9rI47xlRkuyTjpzsmCBSWNkAXVoK8sgYWqQJWbo1RLo6QH0YW6pxqfCnRgkd%2BRiFjUQUQ7poIaYoakgXxwFd9BuuI38H1xBxXSFb%2FpBDIKQFn7YB3dB36l7sG1FLaKiBdp1KxLvfswap%2F30lnVESgNnvjbUoT6w9N%2BXoio0qcYOIM%2Bheg940YimsucQVvli9NEcft2UZwGQwLuilj1fFr1i3NP94X%2BPE7Hpvtj6lBJfJ4R6NvWiaL6MgzWHxiN66DExa%2BdAdAbMYX6HVF8A%2B7rjEZIXAVbDe7PVI9rmN69JOLV1DOSvRPxWNPZBZf%2FNf%2BNy65BhYxxxV%2B77XJ2wfQ389%2FIQPgajXbwMsuAz%2F0IaQcXJavKbRqR2IqyZruXjVC2%2Bhdee%2F5vdnYOedpmVtR3NGXldxSzDSIiBVpkGb9by89UpEPKrSLZmyFDzMab%2FwXl2CNe7s%2FqCtTvWgG5kpBmCBlSzDS%2Fr8N4uwBwohRW63JTS1y32f0TQsPfXVGEHQrV8%2FNCfiOUVirYcBbIeA2%2BiF68rQIo3B%2FS628vYESr79ehzS7Q9LEL9UXmik9XVHb1yBO3Ngvt5935%2Bk1efkV51mzzrM0LL3%2F20avnwMeKuWyOUZg2TasSqZ%2BKcZQiOn1Iu2Vh497ALUVZiCKt%2Fgh6IvTIj1ZLRjWAkpHKOKovNwp00eqPROiAbiNEKieXwMLcXhVJ1%2FuzmLP4tfxaHR59cBdJVG1kTAgl9ze9QKUEQ946Hkb%2BokJ5JRDyf54Axur1D%2BWS49cLr0tTPEu7UmXrxcSr3XNvumv4yXzInXKH4F7Tc7p17Zt%2Bt%2FqW2%2B93k063X7VW6lALxTY7i1nBXMxcxmzQbabxz%2BtJo%2BwijYaIGMNS8AoSMgAPt84DdHOoMPfjXhF%2BkuH1tZvuFQrRCN07xGcXRX9MYxYchDe5BcHj%2BZ4i%2B42WyPc8Xofi7bbZJN5nJLJ5qr6IqRtzqNlM17SpFsnkEyTWoABEjz4JXOQvzWYuwdnV5LNGOwTM5v9r4RpQ8ZXsYodks3o31JBlzbYtNotisnm22MxiwGFXam5oN1n0TA%2FhRvshvTSDwHff4nNzRo9Dum6PaJbMXzDz%2Bx%2BFkj4L4bFNBb1asqsgH7Dyh4DvbkPtf5yMDKzEwyoaESMSNS9P9gJVA3%2FRTlwoMwZvxECFWxIPNw9gi01nOHjP32esZTtmXHnxvZd8ZtakqQ7ekajbXetpNa6ocTVxJtY%2BuSe69OLz77zh5bDR3xjZMzUz6fxrz1nqrZGcHQHfPVefN%2BfiK86LeXj%2BSc5lPKy%2Bk%2FvCUI%2FDaLFYCWHr6nbXuILTIsb5imNKY%2FrCm28fSMxPhkN1XbNMNZGuqwOBhtTSxWuTk6bw0ZaG86b1hKddePOKuBvmiguYBn4T%2FyOqOyGRBt7bKUI1GjioBC8aUKwF7Q319UgcmtFGIzCJGBqwQij0ynDsfdFGc3TS3BlNfJ25xmzniMkpXXTPvCaD3ZaZvyzjmZdudBostmhb0ORZNN2sJBeed1HXkrUsywueQH%2BL0eCPxmsa5ZpgRJSDZ11yDv%2Bjmbd86vxZfc1WcZJ3UkMq1BOOOVtvu%2F%2BpB%2Ben186d3GTwWAw2jheaJs09%2F%2BLNfZft37DALyrNj1wABMuUKbODyTVnT%2FKYbJ3Tpq8IrNh92dkxOj5P%2FYpZx4%2FycyiVcDYdn4JbEoKdQi9054iBKsygLW46FRGxAb0NPNCm8BSNCPjoKcj6EAus4SuP3rB%2BcV99%2FeTF6294dA8%2BTK6v74MHVpYNRt%2FI30e8QGTOOdfGWzzxcy%2B87a7bLjw37rHw1nPzp0KyyRSeZO%2BQQhInt3dYgvycjrPOv%2BT8s1rptaP84VeywdWX2T4ysr0%2F7TLIs6%2Bx9zib56ye1dM9e%2FXsZmePY3NDs9zlnNVt4%2BWgHJbbz3Livg4P9WWgviOMm4kCRT6I8vw0NbUUEnFvOuFKoxQW1gTsvFirsF5pb7qTUCx4i7VmtToveaDxvK9uOaedVvPRpVOnNz0Q6bry7uiSdQ8t7Vy4JQKVS%2BXPplV2ts4bvCwZu%2BKzgITtxepaPRzWdpv74muvv6RO0SorX6cu%2FdqKn%2FXWnrtp%2FZragz13DUCl5myiFW2Ycvb0PtsXnU%2Btx8pvLFbUspLX68mdegwmOif%2FNPDONajTGoUh6tU56HBJCTBASVvNUB5VIiKpc9kd7kludodSFz7xQbiOmMk5dOYk56gzL6uaf7N8a6MQOHm0ae6snZpFDfuT3%2FjdYzjzwkXXIVHoXNuCfQslQZqBZjTsoHMqrkE4jaYdgkGz2ATOgB3cPkSukD01DnV3ttb1wx%2B6arPqbkcNAHoFPzKUUQ%2BqL0k97pjbZv1I%2FegC9zTFbrrlFpNdmea%2BgIgfWW3wqkcis8ky5FAcRd1If5nNZrl2FFpungc8wpoCl1BpQV%2FScS%2BzjlASyUTVv%2FAJ46gkJI4bHX4lTnloctxPZE1ckS3%2BjG2fKIjkQFyzuo8jvYQG1OrGvJPSTu%2FnSp9PHNTl4z5hK%2F8gtXVKF6gEKiglgcKiRlCESsQCV5QIlKWKpr34lt%2FwkSx%2FJCmP5%2FcBKQfl%2F5gd%2BrOS%2F%2Bp91%2F%2BYCg5CXK2W4M9fu%2B%2F6xxX%2BvnelVuldIDCG0VQTpU9Dw4pRfei%2B6zWx0MLie0gPbyrkmRU7OwT16JGeyXLHqOLqAfVN1GPlBzWtFNzj0TRTCjogtP1NjIvu5habN5Aoa1k66wGpqriVetJgiGdwDZtKhnN0y4n9sXYnsqGmZfDSR15%2B5NLBlhoDaedEm7sxmpqRija6ZEEg2EAnTiAC8IrmFbGz1q08P9PSkjl%2F5bqzYqT9hMmptEXDgTqP3Wiye%2BsD4Wir4jCeoHbbp5hRfpB7BakUIppIlPCD30dR1GtslDz8OsqbXmejFC%2Fv8wu5X2myq7SJ8Avzv9DFUJySf5uNvq4%2BTi7W9D%2FOZrLChdwxmPNiBRqVjnpK%2FaGxRCDspVYKAW9AN1JANoo8wP4BJUlGqdgw6m1qPQ2QW3%2BOfU5%2FieLS%2FNuKpDU3uf8bcAXyBal5jMR2NEAbPAZt0K3hvxHBEDlUxfIGcD%2BN2gNSNx36nfqlAYow0puatNpRz0e4W2oahKzQHsjf2c16ad%2F3t2KTtPobnX6D8C8pd0MDP%2BKx7wnXqGGlLQcvikMErm6TmfsuxJXbSAxqNjOogJLQBLiKEHAE%2BJGTS3JoEhTrz8%2FCB%2B5YlupJ58aOat8Kv4JvregxwcU5Cp8GFAFm1FyOfto6GS2m1NGTS6CPNKkbsTdCBlnN9onMho55BX8IJZtEQ35lk%2BhtwN5A0V3RCPoD%2FyXAcv6pAtbZczRUA64JmcUf4q7Q89ZHLeJVZ5D1Ps%2Ft%2B0iCT3AHVtZC7JDCXfR7OSb%2FXja5H3zQbZL1B%2BULX1BMTEk3AseSpmnKEK4T9ekMIidUCRQFfcbj7z8gNLvzF7mbhQN8h6ZbRset%2BnQWdS%2FZX3k7WpS8P9sfo0iGS64wV516pOhjI6TZ2dApgI5%2BLhxywYoWxKUrykKJsIoDsR4mSrCTg0egMPnLW%2F3Q5Nn8BZEuzqEI7HK3n0%2BzFmuO3TtWQ5WJoG9YqCD6Gc32SxnbnVPfsxvrFXK2dILl7bLthDp6glhcsfp4bYvbSmj%2FmQ94uBTw0E73x2jbNRCvC6VL6GCFDwU7eWQDcC5FY5s0slieRDwtAbRsbLXbaXAuu14e2OJw1dc6jQ3ZdY8v7rv2%2FBWZLqvFWVvvcmwZkK9f5jS4muO9yR5res4kfkRxhV03L1RfPOiPtYi8pd7jNEsOpyTwxpaY%2FyCZu%2FAmd5Or9uS3DYaeqVOhH7gZN%2F8I%2Fwi1fEuLXvyNivibjuKvN%2B1Nc01HF%2F3h%2Bef%2FsOhox8MPd5SFucPjorQwXT%2BytA8EmA5mamHNFDVhBI5pjZbQpugBNkO8MvRub8KVDKST1Wag7D3xlin1ZF7LFP%2F79nbvCXFOY%2BPUjrT7%2FotsPXXZ4exdPzuhZuL5LUXVAn7k7PbhG89uz3b41X01gbjP1xwlu5rrvvf9%2Bpbs6E%2FVu7Nk642%2FPYRaAiUBdrmO6CDTBLPQFA1ur0uXoBR1INDMkypKpoTqnSMx5GiEdTEaSHLs0Alvu%2F19%2F5QW9Rv1U1ridT22i%2B53pzumbs%2BXFFXYC%2B%2BCGsTj5JUT%2FGCgRt3n78i2n71FHG4%2Fu6X%2B%2B9%2Braya7os3ZbDmgWfXun44e%2Bu2NZKuGZ0HiF8M4TlMPR%2BEU6rPKRJ8wOU2RFUFLex3egEsz3YqEAq0cqhAAW19dBZIlVzR61tuIdTnpXH7l%2BuXrbjPUyep%2B8cl6aXKWhPHpDcXl9KiTWDNr4mBQc8Tq%2BNzK%2FOKSbsfl79o9G20R%2BbrBXYvUg0rLHhtrc4TN81TTOWSZ0gL1ZVlOYH2ery%2F7XVUjFMbzYpg7UswcqJPQwBd0LKLabJ8IaCr2otcjSkIrGwootKECaUd4XH1%2BSdazRrfddkBU98t1htvWrbjqSqjaCguxrffM%2F5zDCpBALUycmajhd%2BR6ww4SWafuZ5eU%2BtPid4lgd3gt%2Bb%2FY9rQoZNmiXYPXyRHbRs8zX%2Ff4WIFjWZJtUdSD55AP3xtXH%2BZipC0EqdBGDA4CoYEU6gRLGPU11QhkLTBiEYPiqOeQgwTCl9aok1Qr5pFf71qEeNxjy%2F8F0GoqYPv75Yh9j3x4DuJ%2BuEzHRpAq2lMqb%2BqfTdiq6kGtzfOWsv0c7lSeMXDHBDe1MT%2BLUgx0Pg%2Fp87u2UicdIvqQi8DkxhcUwUXCedMpb4NQjwY3npTmgsURJavLwCRyEcN2HfWsDVGfv%2Fu9ZUWUx%2BPYFueUKwaNvbtu%2BXps3eVWbN1GcgVrdMnWJ7WmJz9SD66EBidag0NF1Ukep0t5A7sFCWdhzvYwHv6L%2FBehXuHqfaBwBEU7hfVLcXvS4VQv%2BT%2FvaSIl7cbeMc7ekv9i8S3e1L5xxpvMGcu1EYPbKyCiijjGXcDKckm43PqU2qNWlXusZMiqF82cuVzolUHN9NNR0HZPxFPV9V0wLtvq%2Bk4DqOwVWDlzuQLVdqFiP08cRX7aRlBVfR8cb55bWe5LExnlcsDp1vAP8Q9BucPMk1Ulh4GnN0SAdxcNHv3q9ohx1Ati4S%2FtkWjIDe3hQdkUGrGRaFBiUdiTSkI41UkMuuQHP%2BEaSQYlPQTFWJF03BNPpTu5KFAdkWgDukzsZKMG0Q1TAQQglScOaP%2FdsZ8%2BfP75D%2F9Uu5Gs3FY%2F2SxPld0DHOciXI9gqjcEidXjE%2B3BLosy0OcX3T7O5g65ROGyzQ2BZs7WbZVnO5ydLe32hMwTQ4wnnKXW6XW5LAa7oaXOIHoUl0FgLQLH2by8wSTWeAx2Y5PDazK3BqZbeJZwXGPaYhX87ZNszoDdaRxotXO1nNlpdvAPFWHDm8PqEE0sZxDEqGzxisFNnuCWetPcGrObN0p23tTZwMuRVodSV8%2BLTrOV3eRvzjQZiSjaLYS1WEJe0kNsJlZu9LFun7%2B%2BwW4gRDRbaxw2nrOGm%2BxOj9cmtbp9ZqeTM1m8UXfQQCSTVSQox6pvtjot%2FFpHvIUjJovFEoYvHYV9C5Y%2FxN9OfcalvII37UEhTbTg%2FAQIaPb4Vz6j5u8%2FaViycMod%2FfkDcpu8QZbZoeBi%2FvbzP3XPsZvOubMtaPHkD9jt6%2BU2O7vqU%2F9C9SMvgrXpQNG%2FE0oJxun%2BCiElUa0IKQSUwERxOntKSV7ekcuh9VBZBBo3VUcB58ofKBHCwLyf9qFosz9Ibf8dGqwaBMjRig4SGOZ2UkWI7UiO9OfUPdxOYFApUZyfpY7mgEc5rtNGGk2H1lPhAk1Hp%2FVAMqQEHEUfEYkkUQq1JMdzsX7kklRrTrUi1wMcDjmu1YYfATj7Y%2BpGpPEBXuoQIj8rR9mgCl4C9yqmF7xnVWxGVniNqtpVmXBvQ6iwni5YQ8a1jYrXtc2J13HvgkvqWxuva1sbr%2BP2S5ceKGyBwDv2DbrToe1u6BkAJV7xnVLUaq0sJB8pFqcUIPi3yuwxi4JuLr%2BP30f3OkPQ72aO0xYo3%2FEsmO3QO5qEF8S0qQH0UsKXv0brnl9%2B8M7jF174%2BDsfvPOl1au%2FRL5%2F9DsbNnwHL2pHR1NTRxMZhJtHktOOxLxErPF6YlLvpC9YP73x%2B4ofw%2B3xVdrHcDE0dQQCmCRgvt9b35xINDf1CDcRSfJ%2BpYl%2BSf8YcurfmXP5F%2Fkj6J82jNsrkWiEuhVlgFfyNkB3S5MUzLhoNiwSCYcxQ7Ui4J0Xh7fmqRbaPa1tzujxkBRlsEHy0%2FOM4pYLPb7g9O6BQJN6l9zQ0OGyCaZz0vMTbHOzXfQ7a2tsterTcqxeInODoemdktw%2B1SbVhKwtW9ffe8VKadK0OVuC3bWzyKm5LeddsWTeorWyY9IMtUFutdu5g%2BRn533qkocdvLs2HmhU75br%2FMmWtD8zA3OP2t1ea636jEzqYxJZGAwFiDEd61oTsrRuW3%2F3pYNi3bS%2BRd%2BGjOfVpAPNd6y64Gsz1GaZleWIPoYL%2Fv9mTeQBENVEguiF1aC4YeXxFETw6QyPfn0m9g8IrMFAvKM1EI11DARnbqibHk%2FIojy5rSdgCyZi06y8sS024PeuO4MfwQ5Y9yKRZCqyYaF30vzeHlmUprR21tR0t0yz8KZY66zWuGvxVQB%2F36kP%2BK38t2Hu6NQ9SFJfw0AdpqPEK2qTMpf2VCqJwqPoJezTL824b8akoL%2Bx03nhh%2BoNo5e77psxg9Q5LzebIKD%2BfsY34f2MtB9fk9v5b8PT6tYrgv4kRPwd0q9z3gdJSJ0653KjCYPwCaR5aUY63eW48O%2Fkdo33yxX9wCiMv2QTrk8eGSI6Ag6moG9t2P%2FF7GRNlDjl0gw7pJ5aOXXqyqn8SENnXBmbSwUYLyqJjv3UmY1nKr4t80no0faXsaIEiF%2FBRaIBnItSce4OUif7W6Vm9T9H1X9Vj71BEm%2BRdmIJQST%2FZfVdudUvh9S%2FqqNvqT98g9SQ3lHibZY0mRVHooyDN%2FFHmTgzjdozKw28NwQ0hwN6BCoPKaEk3YtKwNhwRLXuk076CGoZNXDQcRwZvreTZY9EZi%2Bd0s4%2Bztv8iei04JQl6ZbDD2eHV7X4uHuFVfPrOmcs6m6Kr7hssr%2B1VZFcEZ%2FPdJkn1hOs8SXS%2FNFFgqt94PIZzZ3tdaL6Q5vo6piSzdy737pwsX1VyxUrF15iJ4uNkq%2Brbyg1Z%2BO8VsNC1UmcvORPRfxtPrfRwL2p%2FoA1eZp6Z%2FaGffoewaXcA%2FxBlKlQLfhQL%2FoPgBGP3qsA7IQS8qDVNswHKRSheDUvA3Q7MZoRcJMxlEygujn1QdyzfPfq3dEp%2FbXh5e5YXW2Ngfvza0ZF6UgFL%2FE0fTq4LBlvTE2qb%2FKuuzYSXVnjTfM1osvqMHVbm9950quIZlbqaL6YP7jk3kUtA0GnX2nvq53f3WoSsvEdDRnULgo2fN7lNZJgI8%2FVWi33c3bBZnGY05%2Bdm%2B3qc7fNmj4YGKLj2nfqFP%2Bg7jdDlxEV5XsJQZP6hYrS1l0VQr4c69Xueixp90gnZPmE5OF22j%2BSYEWHlZ0K%2FHgsh%2FZtsbh6h2DNRlvv6jJh9XaJaHCZDiUDKNTMkvb8vsqCyf3ZNdSmO0fa0Y4baJTtpbKzuVzeeSI7fCKr2Z0WypapnXJ4gnoWy3PoUIlIQ1TXdqhQJIXp9Wx5fYdpeWh2TY5D%2BYVyKd0jw3iumwi%2FBC3cEy4o83QlZnW79MrCgCjbhWXBlRZVVZZv4rIKpXC01HFlHdHLoeWVl6UVc%2FJ5uGm6CViW5mulYMk%2BHqNYr0AyUPivLg2oMs2MPqtuhHyRyiwvNJej1Br%2BfcLyoAyu8D9B7bgmzUqfFobF5nKnK4%2Bt8MPJkI%2FxHUNWk117jugWF%2BxazTAALQn6%2BUE9lhoI5ApGA%2FiuJOsrlNP28SVVuBVajXmircLel46w2bJS1Q0Ft0KDuikDFL%2F3pYrid1Q4FvofwRIo4R9h2ftSwc6jHAMqLcCql8YPHtlzGoByNXYN6v8hXnRaOhUvx0sVLCexwupGDR4NOYC7PePa5keIPACnuAdD7dEadRuTIiS6Lb7uskb381My5yjzF8lGCjBRqdwrWJCagfB3yCy7XT1i92hbcZ5Ci1FJkgYMDf6n%2BjspIsHFjJrTOdzSMuOa9DbDcj%2FnH9N9bIoGVgzHPWIQuFuYtaMRaq8eCKI0gEF6lPOZjBz3EEvaaxwSUT9U%2F8JbJZPJJLBLolH1La%2FRbF9AbC8JJjv%2FmMnssKjLRBJyqj9QXxNko0Ux%2FX79epfiXkm6fmKwF%2Fen1HLc6LxloXWKvGa5rVCVL83VuiPcDEX%2FK5pTXOxHfx6HHB0t2FI0qI2rCZFTrvPWU67zVuS%2FkTsLnc7IKhFg30e4FOkqNSfH5PtkmUy6Cpiv%2F36k2sbqCeCFNa%2BURpoY0sZoYmCgCr3qgZz6s8I0gP1bYiR%2BD79H56NOz0EVWCTy2%2FfffvSCCx59W7uRV9995eqrX8GLesOXNm360iZ%2BT%2FEl3uZqL%2BFyzSZ8XxpTiI%2FG0nkT4zznFZ0t4ipMz5v4q9ssqbdKUZt6u82knPCrt6PZwsnn0XySVnyPR1ZXAn72yx48bWJsu7apnI3Hy8bygUK5Js32qcytapqgmn95uexccj205vGgJ%2BeuOeG2SORmKZr%2FqKzcx9SFctMJdwMUFZDJITs7dnOp1EKZCxg304Cevyfya%2BvlKqv6aXK1qIj3imL%2BL6hL%2ByvUlFfE0VKZ7E8gBY3M%2F8VoJCFgizH1W6VyC76nH6b7jiibYVxUmVIEspry%2FLgZIlCeP11Z4zs%2FAwvVwtGFEut5S1JY4lfyT0N%2FevOLo%2BrUEgjcqc9IkGpQbv3iW7Co5b%2BKgjvpzYdH85PLcc4X21ouwEGl%2FS4qnUAvoSlXUUhR1eKr2VWFTB%2BGMl6FsiQsVD1R3urlAAIoSn7JQkmiVVCHSpCwDH%2FqPepXQ0Db77CJOAImohB%2BRPWr31ev5g%2FkE%2BzTa4lbvZo8xdWPffQu9yJTPCNB66s%2BzXoJt%2F0L6hSoCuBIoK8fnBGG87OoRckJpLqyWe4YbpGi50g0%2B3I3UD85Oa0fzubfoXxPLbW3FDWzigmyJeM0tQkax7PqTy80%2BUxfUHPlBZIRVNQ%2Bv0xRm8REKPoLmNr0%2BUo48v9GFbXPKylqQ2IKm00QddgyWGMROCTxdLB9nCY8P7j2DjlsV%2F%2Bmfr0C0r%2FNkeXbbpPlOTBBwT0mVz1zx9S%2FwJecBF9Wgv3p032iP2v4VSgfgW2G%2BHUEdEXU6iq4CtpLJfIN9XQG8dwa1VoO8XC2SrPDDyCOQptXgbcPvlAgBfxBoGwftQKeKFrNTASPt3pGGqDt%2FQRasn2kri%2BH6L80MJRsmVYJrAKyDItpJUy3%2F15WYIJqcJ9Q5N%2FLFJ4c3dc1URpWl9hW6mu50MUIelg4ucTPf15zs5DFo1c0VSp1tKB9jkwIyuM45kb%2BIP8gHed%2B6jO3v0KbIknzLy636E8KPTdCuUpB0wLo9JKnAO6pv0vS31EtBha%2FfJemkgLVVnd8KCk4qBTpQ5m7FbifBKrPJcq0pZAFVG%2FXbOFz%2BTcq2MLrcmV28Nmi%2FOHskh82bau0k8eWCaPijQPWQ5lUvslwVCfHkXBMIehqUgtDNLeauH1huvZTbYmw%2BluPjyWoNGEuxRLR7LK5fSyXFUyK7PURQv2v8D3XOt2NJ6liBbmPGOsakw1kbeOs%2B31Wm5qpH%2BiJWSzqdPr2O7zc2TmtnrzCig6bBd%2FvgQmzOlz0STWIlmZEQfupogOZFHUZ7EkUnMn0RrpIMqAgHRJAOjIJ3yGw1I%2FMAp9q9S3Q%2FclADNm1wEeO%2Bxbwg5OIYHZLY3ehG5lJk2xhco%2B6JWybpEVz2wrR6hZyD0QXZbeDVB%2BonmlimpkWprdAs4WEZDSQppsDlcdCBJJESIYFuAtUnC4GIF2C3Uu2Kv7L1bdz6FxtqxpG4TqQOqOUNAJ2HLvPWA2GgDy4O4vaDrtyl6P%2B1fAll%2BSyFcQ28GHqh7fvvf37udylf0fNwhzgz87Y%2Bcf5x9GnF6ygHu18sAbipWeF0YPBgp2GaKeQduxxdEr3SgbH1kvH7tvqSLhedomOvZyts2dw8acu3dY%2Ff%2BucuMtCuP%2Fe4zC4XnH3OLZ8ZuxTWxy8dJfU5dhDeKPSlJy5pn%2F%2B7u3XrJhmr9C5CuleGflGQocKnlAUaRKp0BAHV0ZwUt9VCqk6zYOgRIuMfePJzdmBdpPJ7%2F6B23%2Bf%2Bsp9NMDZevovvfYHG5dGPISQq1DojqNckchVrCcCYz%2FQ0hI0m3NKDRfkgsrnamo%2Bp0CAq1FyvC3a3Nak%2Fs5VX282x9Ufy3E39VAx6o7LpCvO2wK%2Bch9jNqpJCutcIOooKnYWtDK8gTRVYygRQfwgzKM5%2BjP2jOZdx3r32Py7rQUPOzAnoRs95NvRAR0qLGU11Taqu1bUYSzMcWjMEir067JQQHfIrLBHsrgv00%2FWavd8HRLMEEYFSW3HCSNQehnrHztKqHcDyo4VfZ6gPKCR%2BgufwA8GegxUEo4A%2Bgd0BASHiH6jYMLIsUdQJTs%2FC641KN4oCHWolCMLlMfIdtWKScjx7SM5LD9HnfmhrGI0S139UWfUnxgOXdJFW%2BAMcGjKr6eHAttHF5sUoeArYKDcxMSYcKA%2FxUDhPiEOEAPafSIUFArN0r24ynI91EPARDXvIDYyvqZaWeroBOUABQA%2FE%2BDXC7PWafDLQY2oiwpUEyj4RQtVlUp1GrM7In2p2A7VuiOW6otMiGOo5Mrp05ejVuTy6dNX%2Fk%2F7mybZQ0nUmfrbx3U4KueDnlHm5wdh8FFeKnoaKKh%2FTK18StOPhwG9Xo5mqXAxvw%2F79YQwwDR%2BnAKQQ4izVXioB84qcppWB7IqjU45z4CE17OvF1Dw%2BoTFqxtz8dxwtogBnF9MjIl%2Fin%2BK8s3hM9laIn0TiCbTAXL0T798bPXqx36p3chrv0O%2BGC9Xaj48Ecv8U8UEeBvUEsDlTepiU5OvlpeNGvpnKF0RvUooWhIjnx6GeBapXCQYTw9DNg6%2FOC3gZjp76oNTj9Kz6Jqobxb9NDqc08vcKReOpcsQV2K8InXFaXW3aI6Ofr1k48rp7CX7rx%2Bv1UKPsfvzQU0Kc83i2VdILmd2%2FyX55zT9luN2%2BCu4nKfwPcK%2FCvDVU%2BpHh8%2BLaldIf1fA5h3ndT6Fln9%2FW%2F9Ce1vndfvJtnPVO2xhm3qbafHVCN1X363UXHq9xuVD8OSD29Z8pZ5cZrern9cAdGW%2Fuib%2Fud%2BVK0L9a42r6C90kL8KzxwLQw9NkIQJL0ASU8M%2BVG0KsUdgdvpgP%2F6NqqP0%2FgHZFUfGEijZLHpiIgvV5%2FBltrj8Qd7XQd5p4P%2B7tJo30NMO6VGBwahSPMYiaaBYoLY6uEnciyhhh1Z%2FvvacG%2Frjpsvnpzs0B1Id6fmX8119l88XnOxe%2FuGrzzHcdu7UtY3%2B2vmXN5zUyj3ZcPl8p1sZSs6%2FnGXtwrV7Ka0XZdz83fwjjINpZWYw85lL8BRK4nGyIir2RiOsEyipuEcIakpGjWgBjLiHWOgj0Yi34gW1kKPxHt2Na5q%2Blwg1RdRSpFDNzosb44YJXnAfoEOpZW%2F%2F6u1lhYA6leevezbI26zNHO811M2dc5HFxpk4i1jPC0s21%2FBWW5DnPQbn2X1WK43%2FaM2n18DfSoybbNHijFpamzXI31eRibGUOxSu%2FlT96YZlq1Yt20DaSBuG6knw2eusHs5EPBfNmVvHKdaQzcDfz9ZsXmLDWGXy2U5OsYSsIn8CS12jQIyD12KKqZrLPy7mSPdICmd6WGHG8NDZkkHuE4h9TU8FpmUO%2FVjC%2FEinToFyoNDz2p9XD6g78WgQdPG7Z3R0T%2FZ5dTM9lsL8Ktek7szl2L%2BgQwGgwkZHc2g5Su7NvVqwGy2Ua4KSXUwt1X4PaM5paaEu6jQ5zVFyNabxvUksVt2T%2F4VeamYPlLtffdQsk%2B2sUTY%2FzDXl%2F05W53%2FBz9UK3p7LjapZ2ZxOm%2BUlZXrL3HHGqO8%2BwVroDaCTTnTxitMxmiAAYQzVJQH%2Bnj3oIHnPaN6Zq6sNSLjBl8tKgVr2mj%2F9CWi9dnKca8rBQBsd5R1tzVlgrl5pbnPw6kZclCr2CHxMnHohLz%2B3KRQokzALyeIKFU1TNCiayJdoHvDYe7K6mZLm8S3uJ9dojuaJ62%2FqN%2FtjQxnSnhnKPw%2BLNrLi8ZKyJ3x1YhiI1aNAtP6NzCGzYv3DmaGh%2FLvQZnt0evgIhTFV0kE%2FPYxAnOHhCQUZdCWY5JWJwMzlAGl1mpNbDU7yyGnhRMILsYhH3VRAijrPcBU8%2FCj1Y9NY6cnGVW0CjTLaz7E3epvaT%2FLtTV72Rs%2B0WVVmd0dz%2FMGTI5F0OsIviaqDlbbO5X6xT3PeXbXHRtf%2Fz%2Bfdka%2BeKPr8KF7IF4vBsT9MFPuPJMBTBMq9hQxXelQ%2Bbewnf18ap4Ib%2BmSMrtDU5zqlD8QANa5MBGh%2FOwOvSDfcV2d66mfEWsbGWmIz6nsyZDWQSmqmxDneYyvjHPmRXHZxeueyRGLZzvRioKnGto9nIPkibAJA16adcOZRQr1iAP3bUyBR7T4RgAWTKxhkCYFwshq%2B7iV9r0whk50cmRcTg4fy5x4OmmNkHndIA2%2BYuMbmE9dwGYB4KFTsvnDE6Ah47r%2FfE3AYI%2BoXADpkdlENcZ8OZEEf8FFGZNxMs6ZLpG3SUFLL7Q2kcFU%2FA%2FJsw%2BvWDa%2F7emewLaoeibaF1B9qUNnuqWK3%2BUfXYVL1v%2FomD15xxeDkPnXTOKSVcCbDGtOu0YQNpGAP7U1HU58UrqGu8xIbHtkQ3LVhb7Dx46ET3Ffcm1q0YcOizNmf3bC3VjWfAcpSv3MyTlgJ23FHQgmgvk%2Bgk8pL0mcCDOn08MDAQlf%2B%2FSlTZ1z12fnqntOhbOTL9%2FZdevbAPN%2Byby1f%2FuUtC%2Fixm8ZBo59LTXEW060hGrTDplNprWd58fwB%2Fb%2FE27BdS%2Fs7U%2BrGVCeQ46nzaw9QccnmZerGZZs3Yw9aVHt%2BKh6HN4ti6lxIhT%2FwahnZtWwzlY9QHQ2c79C%2BdxzvVDKy8GqKWQERO9YAKbpsDUTLdWV5dE8PVPjvj9pqw7ah%2FPFVtkit7aj6G5xY9mfJrCz1j1e0BcnPol4UjtrCdbahIVtd2HaURujnFJR8CuOuUUfhrGhgKKgjCYNSvCc1WKlEp8wHUaAYynFNyzZn%2B2MnYv36dbMDBTonl%2FT%2Fma5IKAyEGz%2B4eRnVtaX6tss2o34u8mWorFtuFgm4A6qK%2Fyp%2FgLEBVat5WnPDdKA574ubuFJ%2FIUfZ%2FY2Nt6mN%2BZNNTSTaeI56gKwkXerTe9DDHUw8%2FH35FY3nNN7GGuBKWhrV9ep%2B0k1WjNWVaHkW1yA%2BQHWNu8rtBw2a5YXuE40rs7%2FGA%2Bj09V3hA98yRnFPOGr8ltGlsFdD%2F7tRce3LH6Trcneuiy7K7J3khKu%2B3qUaXPWaX7T6%2FKfj9BX2eZq2XAcZT79u1ClJzUtHUqfqSMWBcZS43Ena0cUGLgpkKxB1QM%2B0Fxz10wgg6r5rltnFpH05pepUq3Y2HfYqeKRntmUFNz%2BXmcOs1H31U6cC6RTVLfCg7RNBF1UF2%2FwBgu0fFQtPEU1sSg3VcNsR7dWq3af87tUFn1l3ltXpaJxpNvtcZkH2WmMst3JqRpxUH%2BWC0E1qOGtP66s1MYv%2BVLu8%2FXFXvV%2FZbunYYBeVN64ls0ur6NzpV9xzlmQwB5qC4Tq70WC0tk8dWJXeHvkD0h9zJOM0vD86%2F1NJMaIAolctvlByferCsqOKDKceOfUu1PsmoFCamV5mCrMUOCi6V6FJosMF22AcrKJgQDVhfYh6tepp%2FlYgvnCEAbJQ1L0rOpajEmRcasMiPfxhgGoVo4rwreQpV6fUJHH2e8fa1s2c13Apl1b89a58ozdoap2sjgLN9uISl7P1DrulyeIkt0zr6JjWocoPOZsaXPb6jtqBblsgsaRre2xHi4nELm0MhG1%2Bx1SXwLpFi53b%2BaHRYo%2FIrbZtuWAKu5cSEXfybnnmUCaXGTpQr0xK2O2WWY76f%2BnAjNVf7nCZHU5XqIkTnpt6VtvsFlPXg1031g%2FVRdpkkyVpD7jnmax88QwDvg%2F66NnMRdRXTcGTmQc3cuINwN5IQqi0yzb%2BYFVHuVqI5s4ADfg5oE4ybDLd28mFSFmYvRoomsWXEdLU2Wl3GJy93ZNb%2Fd5gqmNaqJZSO1l6PVRy0nZIj%2F45EetjLguh1rLqR%2BSK0hO6NrsqcNX8zoUdjQYDJ7tb4os6%2Bi%2BY0qpY2AWlnLRDWdGFTfGY1gV0zNAtJ7pdo24se0D88AwLY%2FgZmE9iuP4V5v7CSR%2FRThaHLh%2BUeBkXwU6BC7lGOevK65udTv%2BtS%2FPfW7qj3ljTcj3b9OkbV85t8xsMj7Ddj7DGpthZKwKPvso%2Fc%2F1K9aLE12fMWLV1y1D9ua8lyJdWXr%2FbG%2BnoCFutf%2FmLILe39ITUV4igr3876fpX5g2zeB52sWnIL4fXHlgeUzOx5QfIvJQyrKQE9wHUqVq%2BPEaOrz0wVvNbJZVSfsuMzxN4l9PkedFzw9V5Dj%2BnzpgoT4ZxCxJfC5RWLc74YVHxKlExCYt0JAOMatREhHBSCAtSfod6x6Ls8HCWECLwXZ9nd5Dz1T24JUdWs6fU3%2B%2BfcnT49Qe%2BkBs%2BwdsMZgPXMp3U5S958snPP%2FEE7bvkOPCuTUDTUQ%2FUzirLhML9yPahoe1D5Fj5jWsaoveyP00PehdUAHk%2FseDVWsvDWXXXsyn%2F4wfpXc2V3%2FQxli3jl%2F5hj%2F83avSCfpTNxOEKLmTjxOEKuxgNlsQn0xgct724mhynupNW1Ph6o3RYS3%2F%2B2TJrzLlkFz%2Bip3qCHKf6eqW02QJLjBYuuj4sobhCWqa%2FYHGEHpcnumuWSOhxeaL7sOakNR6vvmo%2BYcfFA8UFXEPZf9UjyudIOyNwx%2Fi90DdsujS%2FFX2UAwvWSVK4NxaMhAGw3oowp%2Fuc8CTi7D2rBgZWwb%2F60faR7SPsEbjkXy4G0XaqhXPwe2cePjxjxuHD6ssQuR1fq6PF0E%2Bo2t1nePTn8TUmxz%2FA3crMoCc7egESuoTHYc7mYdg6etORoOhR7BBGD%2BqJopELrl4S6cJNRtEAsLP%2FOdvnJq0Wo0GolY2Et9VFB2Kf%2B4bZvVyxfOMz3WdFfSIryj6DwWghre7aQbdiDrkTL3A3vNDuDpk93HqXwam%2BbWmUJZfNn5ozKV5Pmmq8PF%2FjVY%2B2Tlk2M2RzSXKjmbQ4RZcQavEYrN%2F9rlXwtIQqzxQNMzPPfHYLvuPoO9TbT8bpGw5CQPGd%2BSyX%2FCyf0Vxjd2R9NmsunnXYa8xGHzn%2BsSfM5J0y0DZEXWWxkXjcR75KBLNLHi7XvX2G8VOrf4Ykg0AMdBESIpo7MgAfyakA6rkqpI6UjNs0px7cMV%2BD5BF49Tez1VGnYmq0WIijp985m4Sn2gJR9b07riPPFo97OYbUZbxJCpot7H%2FlpZBicglCPN7WOfJkcHqc3ElWqvvz%2F1E6bIQrG%2Btz6WkM1SM9FBTR7FSs8KyBBytSmNEoquJNFN5EQyTiCrnKDx1h58yxCepPHU5nxGoxEQeeOZi2m80DxNxncVhr6BmEfUarxejw%2BWSiHhWk19bSY7aKR5MsteblJpfTLtjimBouXsm3d3djjYM%2BwEW0El9dM%2FueVRWIsXwe43R7SgbVZqrnqoJ1X%2FkuF7pcgf8duv4q6vayV5U9zMV91GxO59UUjW8rHV6u799WzKMT7umRCXbYUKM%2BfoaCcwgaoqZUtmodV3p%2BX7akb4dnU9B9La38RPFUG2SCC90tVA4XwEFhyOpZZrUCsgWYHsczLFBBVGNtstoN1bw0Z%2BO4fYIbvZVt4EUcJEKOhHeincWqONw%2Bq6w5Go%2BWGOSR7LhKV%2BKBqbBPpfUvOf9QqkpDyVhBeyyZQGMsdA5FBUqvFMtUyGq9vjnsAJU4UcrxldP1CCaofyDkSAifoP5QwWx%2BSyUGxp75BzGAvtG7uQ38LehlyEQMeh0TeE6Bm7tYdXqdkt0uOb3kfYlNwmOdDyacOq%2FqlFo1v%2BPTmTi3E%2FglC9W11b34A22zmLzvb231Q0L2Bgg60OTW4YdstO%2BYOJnO38TtpH7zy9ymokWyA79qlVSn38HtpFlImFnhu3b4boNWXklOXV0Iwo7lQ1hrZyPFcwtjwFP7iEKSHSSJw509kh8kj6pr%2BH1jR7km9vcvqN9657vffefkv%2BfKxge1X%2B7RdjYUPIESN7gTvRkB%2FRMYtEkaVkdHApmdBPpnKmz0n1xSWFOyVIuLrinZwpoCRe6kyiVZoHX088F%2BUX4%2BWKS4iBTP0IWxGtZgOdMaV4KTayqHQF%2FVihBwTbgDXTCmKoOBJeNhwJMzEVjtjIFLuU38fPR7hqNG1JS7g%2FqRCuy3vmQ3W9Vu8qbVbP%2BSzazGRJH83MzP90Ck2m31mMjP8TiLn5uwD2Ugr2PFvPQjB5BnSJvQxGQZZEB%2BLopqzGzDbMmbkAPkZVJjeO5FzOSBKCgJze2ZS4Gemc9twrwY6u9H61iUQTcRvtdT9RW3tRxAWwFs2tcuJRnI6xjmBdWjbgFNRHMHiF1uHYBfUR%2Fut5Ug2jXAaT96%2B9RH%2FFToRwIzGbKmVJ1AZQnoabSB1yyIg7ByAridHApPMjyw0OiV6RjSbCuzwLAvFizBliWJua1tsuAgvNPbmljYbpt8lkWam7b3XZiOiKJskMOtmfScnsbPW208knwjuXrXK4Q1iKIgNyYXXDVT9C2Ye%2F78GQ5BEEXfFdde2RwauOysdJNL5AzCy84ard%2FnGAVN8alecnFdgu5Gbd5DJTL%2BhHZK0vApVy3OfU8XTSJg1TlssivsPYUlIqvn66PzrVTymCc4wgF6SDNR0pDf%2B9Gp%2BVnsUH5WtpHYsuhOaey8zdwLN47V8MTbm78g687%2BP3cx6tcAeNpjYGRgYGBk8s0%2FzBIfz2%2FzlUGeZQNQhOFCWfF0GP0%2F8P8c1jusIkAuBwMTSBQAYwQM6HjaY2BkYGAV%2Bd8KJgP%2FXWG9wwAUQQGLAYqPBl942n1TvUoDQRCe1VM8kWARjNrZGIurBAsRBIuA2vkAFsJiKTYW4guIjT5ARMgTxCLoA1hcb5OgDyGHrY7f7M65e8fpLF%2B%2B2W%2FnZ2eTmGfaIJi5I0qGDlZZcD51QzTTJirZPAI9JIwVA%2BwT8L5nOdMaV0AuMJ%2BicRHq8of6LSD18fzq8ds7xjpwBnQiSI9V5QVl6NwPvgM15NXn%2FAtWZyj3W0HjEXitOc%2FdIdbetPdFTZ%2BP6t%2BX7xU0%2Fk6GJtOe1%2FB3arN0%2Fpmz1J4UZc%2BD6ExwjD7vioeGd5HvhvU%2BR%2BDZcGZ6YBPNfAi0G97iBPwFXqph2cW8%2BD7kjMfwtinHb6kLb6Wygk3cZytSEoptGrlScdHtLPeri1JKueACMZfU1ViJG1Sq5E43dIt7SZZFl1zuRhb%2FGOs44xFVDbrJzB5tYs35OmaXTrEmkv0DajnMWQB42mNgYNCCwk0MLxheMPrhgUuY2JiUmOqY2pjWMD1hdmPOY%2B5hPsLCwWLEksSyiOUOawzrLrYiti%2FsCuxJ7Kc45DiSOPZxmnG2cG7jvMelweXDNYXrEbcBdxf3KR4OngheLd443g18fHwZfFv4NfiX8T8TEBIIEZggsEpQS7BMcJsQl5CFUI3QAWEp4RLhCyJaIldEbURXiJ4RYxEzE0sQ2yD2TzxIfJkEk4SeRJbENIkNEg8k%2FklqSGZITpE8InlL8p2UmVSG1A6pb9Jx0ltkjGSmyDySlZF1kc2RnSK7R%2FaZnJ5cmdwB%2BST5SwpuCvsUjRTLFHcoOShNU9qhzKespGyhXKV8SPmBCpOKgUqcyjSVR6omqgmqe9RE1OrUnqkHqO9R%2F6FholGgsUZzgeYZLTUtL60WbS7tKh0OnQydXTpvdGV0O3S%2F6Gnopekt0ruhz6fvpl%2Bnv0n%2Fh4GdQYvBJUMhwwTDdYYvjFSM4oxmGd0zVjK2M84w3mYiYZJgssLkkqmO6TzTF2Z2ZjVmd8ylzP3MJ5lfsRCwcLJoszhhyWXpZdlhecZKxirHapbVPesF1ndsJGwCbBbZ%2FLA1sn1jZ2XXY3fFXsM%2Bz36V%2FS8HD4cGh2OOTI51ThJOK5zeOUs4OzmXOS9wPuUi4JLgss7lm2uU6zY3NrcSty1u39zN3Mvct7l%2F8xDzMPLw88jyaPM44ynkaeEZ59niucqLyUvPKwgAn3OqOQAAAQAAARcApwARAAAAAAACAAAAAQABAAAAQAAuAAAAAHjarZK9TgJBEMf%2Fd6CRaAyRhMLqCgsbL4ciglTGRPEjSiSKlnLycXJ86CEniU%2FhM9jYWPgIFkYfwd6nsDD%2Bd1mBIIUx3mZnfzs3MzszuwDCeIYG8UUwQxmAFgxxPeeuyxrmcaNYxzTuFAewi0fFQSTxqXgM11pC8TgS2oPiCUS1d8Uh8ofiSczpYcVT5LjiCPlY8Qui%2BncOr7D02y6%2FBTCrP%2Fm%2Bb5bdTrPi2I26Z9qNGtbRQBMdXMJBGRW0YOCecxEWYoiTCvxrYBunqHPdoX2bLOyrMKlZg8thDETw5K7Itci1TXlGy0124QRZZLDFU%2FexhxztMozlosTpMH6ZPge0L%2BOKGnFKjJ4WRwppHPL0PP3SI2P9jLQwFOu3GRhDfkeyDo%2F%2FG7IHgzllZQxLdquvrdCyBVvat3seJlYo06gxapUxhU2JWnFygR03sSxnEkvcpf5Y5eibGq315TDp7fKWm8zbUVl71Aqq%2FZtNnlkWmLnQtno9ycvXYbA6W2pF3aKfCayyC0Ja7Fr%2FPW70%2FHO4YM0OKxFvzf0C1MyPjwAAeNpt1VWUU2cYRuHsgxenQt1d8%2F3JOUnqAyR1d%2FcCLQVKO22pu7tQd3d3d3d3d3cXmGzumrWy3pWLs%2FNdPDMpZaWu1783l1Lpf14MnfzO6FbqVupfGkD30iR60JNe9KYP09CXfvRnAAMZxGCGMG3pW6ZjemZgKDMyEzMzC7MyG7MzB3MyF3MzD%2FMyH%2FOzAAuyEAuzCIuyGIuzBGWCRIUqOQU16jRYkqVYmmVYluVYng6GMZwRNGmxAiuyEiuzCquyGquzBmuyFmuzDuuyHuuzARuyERuzCZuyGZuzBVuyFVuzDduyHdszklGMZgd2ZAw7MZZxjGdnJrALu9LJbuzOHkxkT%2FZib%2FZhX%2FZjfw7gQA7iYA7hUA7jcI7gSI7iaI7hWI7jeE7gRE7iZE5hEqdyGqdzBmdyFmdzDudyHudzARdyERdzCZdyGZdzBVdyFVdzDddyHddzAzdyEzdzC7dyG7dzB3dyF3dzD%2FdyH%2FfzAA%2FyEA%2FzCI%2FyGI%2FzBE%2FyFE%2FzDM%2FyHM%2FzAi%2FyEi%2FzCq%2FyGq%2FzBm%2FyFm%2FzDu%2FyHu%2FzAR%2FyER%2FzCZ%2FyGZ%2FzBV%2FyFV%2FzDd%2FyHd%2FzAz%2FyEz%2FzC7%2FyG7%2FzB3%2FyF3%2FzD%2F9mpYwsy7pl3bMeWc%2BsV9Y765NNk%2FXN%2BmX9swHZwGxQNjgb0nPkmInjR0V7Uq%2FOsaPL5Y7ylE3l8tQNN7kVt%2BrmbuHW3LrbcDvam1rtzVvdm50TxrU%2FDBvRtZUY1rV5a3jXFn550Wo%2FXDNWK3dFmh7X9LimxzU9qulRTY9qelTTo5rlKLt2wk7YiaprL%2ByFvbAX9pK9ZC%2FZS%2FaSvWQv2Uv2kr1kr2KvYq9ir2KvYq9ir2KvYq9ir2Kvaq9qr2qvaq9qr2qvaq9qr2qvai%2B3l9vL7eX2cnu5vdxebi%2B3l9sr7BV2CjuFncJOYaewU9gp7NTs1LyrZq9mr2avZq9mr2avZq9mr26vbq9ur26vbq9ur26vbq9ur26vYa9hr2GvYa9hr2GvYa%2FR7oXuQ%2Feh%2B2j%2FUU7e3C3cqc%2FV3fYdof%2FQf%2Bg%2F9B%2F6D%2F2H%2FkP%2Fof%2FQf%2Bg%2F9B%2F6D%2F2H%2FkP%2Fof%2FQf%2Bg%2F9B%2F6D%2F2H%2FkP%2Fof%2FQf%2Bg%2F9B%2F6D%2F2H%2FkP%2Fof%2FQf%2Bg%2F9B%2F6D92H7kP3ofvQfeg%2BdB%2B6D92H7kP3ofvQfRT29B%2F6D%2F2H%2FkP%2Fof%2FQf%2Bg%2F9B%2F6D%2F2H%2FkP%2Fof%2FQf%2Bg%2F9B%2F6D%2F2H%2FkP%2Fof%2FQf%2Bg%2F9B%2F6D%2F2H%2FkP%2Fof%2FQf%2Bg%2F9B%2F6j6nuG3Ya7U5q%2F0hN3nCTW3Grbu4Wrs%2FrP%2Bk%2F6T%2FpP%2Bk%2F6T%2FpP%2Bk%2B6T7pPek86TzpPOk86TzpOuk66TrpOuk66TrpOlWmPu%2F36zrpOuk66TrpOuk66TrpOvl%2FPek76TvpO%2Bk76TvpO%2Bk76TvpO%2Bk76TvpO7V9t%2BqtVs%2FOaOURU6bo6PgPt6rZbwAAAAABVFDDFwAA%29%20format%28%27woff%27%29%2Curl%28data%3Aapplication%2Ffont%2Dsfnt%3Bbase64%2CAAEAAAAPAIAAAwBwRkZUTW0ql9wAAAD8AAAAHEdERUYBRAAEAAABGAAAACBPUy8yZ7lriQAAATgAAABgY21hcNqt44EAAAGYAAAGcmN2dCAAKAL4AAAIDAAAAARnYXNw%2F%2F8AAwAACBAAAAAIZ2x5Zn1dwm8AAAgYAACUpGhlYWQFTS%2FYAACcvAAAADZoaGVhCkQEEQAAnPQAAAAkaG10eNLHIGAAAJ0YAAADdGxvY2Fv%2B5XOAACgjAAAAjBtYXhwAWoA2AAAorwAAAAgbmFtZbMsoJsAAKLcAAADonBvc3S6o%2BU1AACmgAAACtF3ZWJmwxhUUAAAsVQAAAAGAAAAAQAAAADMPaLPAAAAANB2gXUAAAAA0HZzlwABAAAADgAAABgAAAAAAAIAAQABARYAAQAEAAAAAgAAAAMEiwGQAAUABAMMAtAAAABaAwwC0AAAAaQAMgK4AAAAAAUAAAAAAAAAAAAAAAIAAAAAAAAAAAAAAFVLV04AQAAg%2F%2F8DwP8QAAAFFAB7AAAAAQAAAAAAAAAAAAAAIAABAAAABQAAAAMAAAAsAAAACgAAAdwAAQAAAAAEaAADAAEAAAAsAAMACgAAAdwABAGwAAAAaABAAAUAKAAgACsAoAClIAogLyBfIKwgvSISIxsl%2FCYBJvonCScP4APgCeAZ4CngOeBJ4FngYOBp4HngieCX4QnhGeEp4TnhRuFJ4VnhaeF54YnhleGZ4gbiCeIW4hniIeIn4jniSeJZ4mD4%2F%2F%2F%2FAAAAIAAqAKAApSAAIC8gXyCsIL0iEiMbJfwmASb6JwknD%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EyFgcFExYGJyUFBiY3EyUmNjMBl4MHFQeBAaUVBhH%2BqoIHDxH%2Bqf6qEQ8Hgv6lEQYUAyABYRMT%2Fp8RDPn%2BbxQLDPb3DAsUAZD7DBEAAv%2FTAF4EewSUABgAIgAAARM2MhcTITIWBwUTFgYnJQUGJjcTJSY2MwUjFwc3Fyc3IycBl4MHFQeBAaUVBhH%2BqoIHDxH%2Bqf6qEQ8Hgv6lEQYUAfPwxUrBw0rA6k4DIAFhExP%2BnxEM%2Bf5vFAsM9vcMCxQBkPsMEWSO4ouM5YzTAAABAAAAAASwBLAAJgAAATIWHQEUBiMVFBYXBR4BHQEUBiMhIiY9ATQ2NyU%2BAT0BIiY9ATQ2Alh8sD4mDAkBZgkMDwr7ggoPDAkBZgkMJj6wBLCwfPouaEsKFwbmBRcKXQoPDwpdChcF5gYXCktoLvp8sAAAAA0AAAAABLAETAAPABMAIwAnACsALwAzADcARwBLAE8AUwBXAAATITIWFREUBiMhIiY1ETQ2FxUzNSkBIgYVERQWMyEyNjURNCYzFTM1BRUzNSEVMzUFFTM1IRUzNQchIgYVERQWMyEyNjURNCYFFTM1IRUzNQUVMzUhFTM1GQR%2BCg8PCvuCCg8PVWQCo%2F3aCg8PCgImCg8Pc2T8GGQDIGT8GGQDIGTh%2FdoKDw8KAiYKDw%2F872QDIGT8GGQDIGQETA8K%2B%2BYKDw8KBBoKD2RkZA8K%2FqIKDw8KAV4KD2RkyGRkZGTIZGRkZGQPCv6iCg8PCgFeCg9kZGRkZMhkZGRkAAAEAAAAAARMBEwADwAfAC8APwAAEyEyFhURFAYjISImNRE0NikBMhYVERQGIyEiJjURNDYBITIWFREUBiMhIiY1ETQ2KQEyFhURFAYjISImNRE0NjIBkBUdHRX%2BcBUdHQJtAZAVHR0V%2FnAVHR39vQGQFR0dFf5wFR0dAm0BkBUdHRX%2BcBUdHQRMHRX%2BcBUdHRUBkBUdHRX%2BcBUdHRUBkBUd%2FagdFf5wFR0dFQGQFR0dFf5wFR0dFQGQFR0AAAkAAAAABEwETAAPAB8ALwA%2FAE8AXwBvAH8AjwAAEzMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYhMzIWHQEUBisBIiY9ATQ2ATMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYhMzIWHQEUBisBIiY9ATQ2ATMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYhMzIWHQEUBisBIiY9ATQ2MsgVHR0VyBUdHQGlyBUdHRXIFR0dAaXIFR0dFcgVHR389cgVHR0VyBUdHQGlyBUdHRXIFR0dAaXIFR0dFcgVHR389cgVHR0VyBUdHQGlyBUdHRXIFR0dAaXIFR0dFcgVHR0ETB0VyBUdHRXIFR0dFcgVHR0VyBUdHRXIFR0dFcgVHf5wHRXIFR0dFcgVHR0VyBUdHRXIFR0dFcgVHR0VyBUd%2FnAdFcgVHR0VyBUdHRXIFR0dFcgVHR0VyBUdHRXIFR0ABgAAAAAEsARMAA8AHwAvAD8ATwBfAAATMzIWHQEUBisBIiY9ATQ2KQEyFh0BFAYjISImPQE0NgEzMhYdARQGKwEiJj0BNDYpATIWHQEUBiMhIiY9ATQ2ATMyFh0BFAYrASImPQE0NikBMhYdARQGIyEiJj0BNDYyyBUdHRXIFR0dAaUCvBUdHRX9RBUdHf6FyBUdHRXIFR0dAaUCvBUdHRX9RBUdHf6FyBUdHRXIFR0dAaUCvBUdHRX9RBUdHQRMHRXIFR0dFcgVHR0VyBUdHRXIFR3%2BcB0VyBUdHRXIFR0dFcgVHR0VyBUd%2FnAdFcgVHR0VyBUdHRXIFR0dFcgVHQAAAAABACYALAToBCAAFwAACQE2Mh8BFhQHAQYiJwEmND8BNjIfARYyAdECOwgUB7EICPzxBxUH%2FoAICLEHFAirBxYB3QI7CAixBxQI%2FPAICAGACBQHsQgIqwcAAQBuAG4EQgRCACMAAAEXFhQHCQEWFA8BBiInCQEGIi8BJjQ3CQEmND8BNjIXCQE2MgOIsggI%2FvUBCwgIsggVB%2F70%2FvQHFQiyCAgBC%2F71CAiyCBUHAQwBDAcVBDuzCBUH%2FvT%2B9AcVCLIICAEL%2FvUICLIIFQcBDAEMBxUIsggI%2FvUBDAcAAwAX%2F%2BsExQSZABkAJQBJAAAAMh4CFRQHARYUDwEGIicBBiMiLgI0PgEEIg4BFB4BMj4BNCYFMzIWHQEzMhYdARQGKwEVFAYrASImPQEjIiY9ATQ2OwE1NDYBmcSzgk1OASwICG0HFQj%2B1HeOYrSBTU2BAW%2BzmFhYmLOZWFj%2BvJYKD0sKDw8KSw8KlgoPSwoPDwpLDwSZTYKzYo15%2FtUIFQhsCAgBK01NgbTEs4JNWJmzmFhYmLOZIw8KSw8KlgoPSwoPDwpLDwqWCg9LCg8AAAMAF%2F%2FrBMUEmQAZACUANQAAADIeAhUUBwEWFA8BBiInAQYjIi4CND4BBCIOARQeATI%2BATQmBSEyFh0BFAYjISImPQE0NgGZxLOCTU4BLAgIbQcVCP7Ud45itIFNTYEBb7OYWFiYs5lYWP5YAV4KDw8K%2FqIKDw8EmU2Cs2KNef7VCBUIbAgIAStNTYG0xLOCTViZs5hYWJizmYcPCpYKDw8KlgoPAAAAAAIAFwAXBJkEsAAPAC0AAAEzMhYVERQGKwEiJjURNDYFNRYSFRQOAiIuAjU0EjcVDgEVFB4BMj4BNTQmAiZkFR0dFWQVHR0BD6fSW5vW6tabW9KnZ3xyxejFcnwEsB0V%2FnAVHR0VAZAVHeGmPv7ZuHXWm1tbm9Z1uAEnPqY3yHh0xXJyxXR4yAAEAGQAAASwBLAADwAfAC8APwAAATMyFhURFAYrASImNRE0NgEzMhYVERQGKwEiJjURNDYBMzIWFREUBisBIiY1ETQ2BTMyFh0BFAYrASImPQE0NgQBlgoPDwqWCg8P%2Ft6WCg8PCpYKDw%2F%2B3pYKDw8KlgoPD%2F7elgoPDwqWCg8PBLAPCvuCCg8PCgR%2BCg%2F%2BcA8K%2FRIKDw8KAu4KD%2F7UDwr%2BPgoPDwoBwgoPyA8K%2BgoPDwr6Cg8AAAAAAgAaABsElgSWAEcATwAAATIfAhYfATcWFwcXFh8CFhUUDwIGDwEXBgcnBwYPAgYjIi8CJi8BByYnNycmLwImNTQ%2FAjY%2FASc2Nxc3Nj8CNhIiBhQWMjY0AlghKSYFMS0Fhj0rUAMZDgGYBQWYAQ8YA1AwOIYFLDIFJisfISkmBTEtBYY8LFADGQ0ClwYGlwINGQNQLzqFBS0xBSYreLJ%2BfrJ%2BBJYFmAEOGQJQMDmGBSwxBiYrHiIoJgYxLAWGPSxRAxkOApcFBZcCDhkDUTA5hgUtMAYmKiAhKCYGMC0Fhj0sUAIZDgGYBf6ZfrF%2BfrEABwBkAAAEsAUUABMAFwAhACUAKQAtADEAAAEhMhYdASEyFh0BITU0NjMhNTQ2FxUhNQERFAYjISImNREXETMRMxEzETMRMxEzETMRAfQBLCk7ARMKD%2Fu0DwoBEzspASwBLDsp%2FUQpO2RkZGRkZGRkBRQ7KWQPCktLCg9kKTtkZGT%2B1PzgKTs7KQMgZP1EArz9RAK8%2FUQCvP1EArwAAQAMAAAFCATRAB8AABMBNjIXARYGKwERFAYrASImNREhERQGKwEiJjURIyImEgJsCBUHAmAIBQqvDwr6Cg%2F%2B1A8K%2BgoPrwoFAmoCYAcH%2FaAICv3BCg8PCgF3%2FokKDw8KAj8KAAIAZAAAA%2BgEsAARABcAAAERFBYzIREUBiMhIiY1ETQ2MwEjIiY9AQJYOykBLB0V%2FOAVHR0VA1L6FR0EsP5wKTv9dhUdHRUETBUd%2FnAdFfoAAwAXABcEmQSZAA8AGwAwAAAAMh4CFA4CIi4CND4BBCIOARQeATI%2BATQmBTMyFhURMzIWHQEUBisBIiY1ETQ2AePq1ptbW5vW6tabW1ubAb%2FoxXJyxejFcnL%2BfDIKD68KDw8K%2BgoPDwSZW5vW6tabW1ub1urWmztyxejFcnLF6MUNDwr%2B7Q8KMgoPDwoBXgoPAAAAAAL%2FnAAABRQEsAALAA8AACkBAyMDIQEzAzMDMwEDMwMFFP3mKfIp%2FeYBr9EVohTQ%2Fp4b4BsBkP5wBLD%2B1AEs%2FnD%2B1AEsAAAAAAIAZAAABLAEsAAVAC8AAAEzMhYVETMyFgcBBiInASY2OwERNDYBMzIWFREUBiMhIiY1ETQ2OwEyFh0BITU0NgImyBUdvxQLDf65DSYN%2FrkNCxS%2FHQJUMgoPDwr75goPDwoyCg8DhA8EsB0V%2Fj4XEP5wEBABkBAXAcIVHfzgDwr%2BogoPDwoBXgoPDwqvrwoPAAMAFwAXBJkEmQAPABsAMQAAADIeAhQOAiIuAjQ%2BAQQiDgEUHgEyPgE0JgUzMhYVETMyFgcDBiInAyY2OwERNDYB4%2BrWm1tbm9bq1ptbW5sBv%2BjFcnLF6MVycv58lgoPiRUKDd8NJg3fDQoViQ8EmVub1urWm1tbm9bq1ps7csXoxXJyxejFDQ8K%2Fu0XEP7tEBABExAXARMKDwAAAAMAFwAXBJkEmQAPABsAMQAAADIeAhQOAiIuAjQ%2BAQQiDgEUHgEyPgE0JiUTFgYrAREUBisBIiY1ESMiJjcTNjIB4%2BrWm1tbm9bq1ptbW5sBv%2BjFcnLF6MVycv7n3w0KFYkPCpYKD4kVCg3fDSYEmVub1urWm1tbm9bq1ps7csXoxXJyxejFAf7tEBf%2B7QoPDwoBExcQARMQAAAAAAIAAAAABLAEsAAZADkAABMhMhYXExYVERQGBwYjISImJyY1EzQ3Ez4BBSEiBgcDBhY7ATIWHwEeATsBMjY%2FAT4BOwEyNicDLgHhAu4KEwO6BwgFDBn7tAweAgYBB7kDEwKX%2FdQKEgJXAgwKlgoTAiYCEwr6ChMCJgITCpYKDAJXAhIEsA4K%2FXQYGf5XDB4CBggEDRkBqRkYAowKDsgOC%2F4%2BCw4OCpgKDg4KmAoODgsBwgsOAAMAFwAXBJkEmQAPABsAJwAAADIeAhQOAiIuAjQ%2BAQQiDgEUHgEyPgE0JgUXFhQPAQYmNRE0NgHj6tabW1ub1urWm1tbmwG%2F6MVycsXoxXJy%2Fov9ERH9EBgYBJlbm9bq1ptbW5vW6tabO3LF6MVycsXoxV2%2BDCQMvgwLFQGQFQsAAQAXABcEmQSwACgAAAE3NhYVERQGIyEiJj8BJiMiDgEUHgEyPgE1MxQOAiIuAjQ%2BAjMyA7OHBwsPCv6WCwQHhW2BdMVycsXoxXKWW5vW6tabW1ub1nXABCSHBwQL%2FpYKDwsHhUxyxejFcnLFdHXWm1tbm9bq1ptbAAAAAAIAFwABBJkEsAAaADUAAAE3NhYVERQGIyEiJj8BJiMiDgEVIzQ%2BAjMyEzMUDgIjIicHBiY1ETQ2MyEyFg8BFjMyPgEDs4cHCw8L%2FpcLBAeGboF0xXKWW5vWdcDrllub1nXAnIYHCw8LAWgKBQiFboJ0xXIEJIcHBAv%2BlwsPCweGS3LFdHXWm1v9v3XWm1t2hggFCgFoCw8LB4VMcsUAAAAKAGQAAASwBLAADwAfAC8APwBPAF8AbwB%2FAI8AnwAAEyEyFhURFAYjISImNRE0NgUhIgYVERQWMyEyNjURNCYFMzIWHQEUBisBIiY9ATQ2MyEyFh0BFAYjISImPQE0NgczMhYdARQGKwEiJj0BNDYzITIWHQEUBiMhIiY9ATQ2BzMyFh0BFAYrASImPQE0NjMhMhYdARQGIyEiJj0BNDYHMzIWHQEUBisBIiY9ATQ2MyEyFh0BFAYjISImPQE0Nn0EGgoPDwr75goPDwPA%2FK4KDw8KA1IKDw%2F9CDIKDw8KMgoPD9IBwgoPDwr%2BPgoPD74yCg8PCjIKDw%2FSAcIKDw8K%2Fj4KDw%2B%2BMgoPDwoyCg8P0gHCCg8PCv4%2BCg8PvjIKDw8KMgoPD9IBwgoPDwr%2BPgoPDwSwDwr7ggoPDwoEfgoPyA8K%2FK4KDw8KA1IKD2QPCjIKDw8KMgoPDwoyCg8PCjIKD8gPCjIKDw8KMgoPDwoyCg8PCjIKD8gPCjIKDw8KMgoPDwoyCg8PCjIKD8gPCjIKDw8KMgoPDwoyCg8PCjIKDwAAAAACAAAAAARMBLAAGQAjAAABNTQmIyEiBh0BIyIGFREUFjMhMjY1ETQmIyE1NDY7ATIWHQEDhHVT%2FtRSdmQpOzspA4QpOzsp%2FageFMgUHgMgyFN1dlLIOyn9qCk7OykCWCk7lhUdHRWWAAIAZAAABEwETAAJADcAABMzMhYVESMRNDYFMhcWFREUBw4DIyIuAScuAiMiBwYjIicmNRE%2BATc2HgMXHgIzMjc2fTIKD2QPA8AEBRADIUNAMRwaPyonKSxHHlVLBwgGBQ4WeDsXKC4TOQQpLUUdZ1AHBEwPCvvNBDMKDzACBhH%2BWwYGO1AkDQ0ODg8PDzkFAwcPAbY3VwMCAwsGFAEODg5XCAAAAwAAAAAEsASXACEAMQBBAAAAMh4CFREUBisBIiY1ETQuASAOARURFAYrASImNRE0PgEDMzIWFREUBisBIiY1ETQ2ITMyFhURFAYrASImNRE0NgHk6N6jYw8KMgoPjeT%2B%2BuSNDwoyCg9joyqgCAwMCKAIDAwCYKAIDAwIoAgMDASXY6PedP7UCg8PCgEsf9FyctF%2F%2FtQKDw8KASx03qP9wAwI%2FjQIDAwIAcwIDAwI%2FjQIDAwIAcwIDAAAAAACAAAA0wRHA90AFQA5AAABJTYWFREUBiclJisBIiY1ETQ2OwEyBTc2Mh8BFhQPARcWFA8BBiIvAQcGIi8BJjQ%2FAScmND8BNjIXAUEBAgkMDAn%2B%2FhUZ%2BgoPDwr6GQJYeAcUByIHB3h4BwciBxQHeHgHFAciBwd3dwcHIgcUBwMurAYHCv0SCgcGrA4PCgFeCg%2BEeAcHIgcUB3h4BxQHIgcHd3cHByIHFAd4eAcUByIICAAAAAACAAAA0wNyA90AFQAvAAABJTYWFREUBiclJisBIiY1ETQ2OwEyJTMWFxYVFAcGDwEiLwEuATc2NTQnJjY%2FATYBQQECCQwMCf7%2BFRn6Cg8PCvoZAdIECgZgWgYLAwkHHQcDBkhOBgMIHQcDLqwGBwr9EgoHBqwODwoBXgoPZAEJgaGafwkBAQYXBxMIZ36EaggUBxYFAAAAAAMAAADEBGID7AAbADEASwAAATMWFxYVFAYHBgcjIi8BLgE3NjU0JicmNj8BNgUlNhYVERQGJyUmKwEiJjURNDY7ATIlMxYXFhUUBwYPASIvAS4BNzY1NCcmNj8BNgPHAwsGh0RABwoDCQcqCAIGbzs3BgIJKgf9ggECCQwMCf7%2BFRn6Cg8PCvoZAdIECgZgWgYLAwkHHQcDBkhOBgMIHQcD7AEJs9lpy1QJAQYiBhQIlrJarEcJFAYhBb6sBgcK%2FRIKBwasDg8KAV4KD2QBCYGhmn8JAQEGFwcTCGd%2BhGoIFQYWBQAAAAANAAAAAASwBLAACQAVABkAHQAhACUALQA7AD8AQwBHAEsATwAAATMVIxUhFSMRIQEjFTMVIREjESM1IQURIREhESERBSM1MwUjNTMBMxEhETM1MwEzFSMVIzUjNTM1IzUhBREhEQcjNTMFIzUzASM1MwUhNSEB9GRk%2FnBkAfQCvMjI%2FtTIZAJY%2B7QBLAGQASz84GRkArxkZP1EyP4MyGQB9MhkyGRkyAEs%2FUQBLGRkZAOEZGT%2BDGRkAfT%2B1AEsA4RkZGQCWP4MZMgBLAEsyGT%2B1AEs%2FtQBLMhkZGT%2BDP4MAfRk%2FtRkZGRkyGTI%2FtQBLMhkZGT%2B1GRkZAAAAAAJAAAAAASwBLAAAwAHAAsADwATABcAGwAfACMAADcjETMTIxEzASMRMxMjETMBIxEzASE1IRcjNTMXIzUzBSM1M2RkZMhkZAGQyMjIZGQBLMjI%2FOD%2B1AEsyGRkyGRkASzIyMgD6PwYA%2Bj8GAPo%2FBgD6PwYA%2Bj7UGRkW1tbW1sAAAIAAAAKBKYEsAANABUAAAkBFhQHAQYiJwETNDYzBCYiBhQWMjYB9AKqCAj%2BMAgUCP1WAQ8KAUM7Uzs7UzsEsP1WCBQI%2FjAICAKqAdsKD807O1Q7OwAAAAADAAAACgXSBLAADQAZACEAAAkBFhQHAQYiJwETNDYzIQEWFAcBBiIvAQkBBCYiBhQWMjYB9AKqCAj%2BMAgUCP1WAQ8KAwYCqggI%2FjAIFAg4Aaj9RP7TO1M7O1M7BLD9VggUCP4wCAgCqgHbCg%2F9VggUCP4wCAg4AaoCvM07O1Q7OwAAAAABAGQAAASwBLAAJgAAASEyFREUDwEGJjURNCYjISIPAQYWMyEyFhURFAYjISImNRE0PwE2ASwDOUsSQAgKDwr9RBkSQAgFCgK8Cg8PCvyuCg8SixIEsEv8fBkSQAgFCgO2Cg8SQAgKDwr8SgoPDwoDzxkSixIAAAABAMj%2F%2FwRMBLAACgAAEyEyFhURCQERNDb6AyAVHf4%2B%2Fj4dBLAdFfuCAbz%2BQwR%2FFR0AAAAAAwAAAAAEsASwABUARQBVAAABISIGBwMGHwEeATMhMjY%2FATYnAy4BASMiBg8BDgEjISImLwEuASsBIgYVERQWOwEyNj0BNDYzITIWHQEUFjsBMjY1ETQmASEiBg8BBhYzITI2LwEuAQM2%2FkQLEAFOBw45BhcKAcIKFwY%2BDgdTARABVpYKFgROBBYK%2FdoKFgROBBYKlgoPDwqWCg8PCgLuCg8PCpYKDw%2F%2Bsf4MChMCJgILCgJYCgsCJgITBLAPCv7TGBVsCQwMCWwVGAEtCg%2F%2BcA0JnAkNDQmcCQ0PCv12Cg8PCpYKDw8KlgoPDwoCigoP%2FagOCpgKDg4KmAoOAAAAAAQAAABkBLAETAAdACEAKQAxAAABMzIeAh8BMzIWFREUBiMhIiY1ETQ2OwE%2BBAEVMzUEIgYUFjI2NCQyFhQGIiY0AfTIOF00JAcGlik7Oyn8GCk7OymWAgknM10ByGT%2Bz76Hh76H%2Fu9WPDxWPARMKTs7FRQ7Kf2oKTs7KQJYKTsIG0U1K%2F7UZGRGh76Hh74IPFY8PFYAAAAAAgA1AAAEsASvACAAIwAACQEWFx4BHwEVITUyNi8BIQYHBh4CMxUhNTY3PgE%2FAQEDIQMCqQGBFCgSJQkK%2Fl81LBFS%2Fnk6IgsJKjIe%2FpM4HAwaBwcBj6wBVKIEr%2FwaMioTFQECQkJXLd6RWSIuHAxCQhgcDCUNDQPu%2FVoByQAAAAADAGQAAAPwBLAAJwAyADsAAAEeBhUUDgMjITU%2BATURNC4EJzUFMh4CFRQOAgclMzI2NTQuAisBETMyNjU0JisBAvEFEzUwOyodN1htbDD%2BDCk7AQYLFyEaAdc5dWM%2BHy0tEP6Pi05pESpTPnbYUFJ9Xp8CgQEHGB0zOlIuQ3VONxpZBzMoAzsYFBwLEAkHRwEpSXNDM1s6KwkxYUopOzQb%2FK5lUFqBAAABAMgAAANvBLAAGQAAARcOAQcDBhYXFSE1NjcTNjQuBCcmJzUDbQJTQgeECSxK%2Fgy6Dq0DAw8MHxUXDQYEsDkTNSj8uTEoBmFhEFIDQBEaExAJCwYHAwI5AAAAAAL%2FtQAABRQEsAAlAC8AAAEjNC4FKwERFBYfARUhNTI%2BAzURIyIOBRUjESEFIxEzByczESM3BRQyCAsZEyYYGcgyGRn%2BcAQOIhoWyBkYJhMZCwgyA%2Bj7m0tLfX1LS30DhBUgFQ4IAwH8rhYZAQJkZAEFCRUOA1IBAwgOFSAVASzI%2FOCnpwMgpwACACH%2FtQSPBLAAJQAvAAABIzQuBSsBERQWHwEVITUyPgM1ESMiDgUVIxEhEwc1IRUnNxUhNQRMMggLGRMmGBnIMhkZ%2FnAEDiIaFsgZGCYTGQsIMgPoQ6f84KenAyADhBUgFQ4IAwH9dhYZAQJkZAEFCRUOAooBAwgOFSAVASz7gn1LS319S0sABAAAAAAEsARMAA8AHwAvAD8AABMhMhYdARQGIyEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2EyEyFh0BFAYjISImPQE0NhMhMhYdARQGIyEiJj0BNDYyAlgVHR0V%2FagVHR0VA%2BgVHR0V%2FBgVHR0VAyAVHR0V%2FOAVHR0VBEwVHR0V%2B7QVHR0ETB0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR0ABAAAAAAEsARMAA8AHwAvAD8AABMhMhYdARQGIyEiJj0BNDYDITIWHQEUBiMhIiY9ATQ2EyEyFh0BFAYjISImPQE0NgMhMhYdARQGIyEiJj0BNDb6ArwVHR0V%2FUQVHR2zBEwVHR0V%2B7QVHR3dArwVHR0V%2FUQVHR2zBEwVHR0V%2B7QVHR0ETB0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR0ABAAAAAAEsARMAA8AHwAvAD8AAAE1NDYzITIWHQEUBiMhIiYBNTQ2MyEyFh0BFAYjISImEzU0NjMhMhYdARQGIyEiJgE1NDYzITIWHQEUBiMhIiYB9B0VAlgVHR0V%2FagVHf5wHRUD6BUdHRX8GBUdyB0VAyAVHR0V%2FOAVHf7UHRUETBUdHRX7tBUdA7ZkFR0dFWQVHR3%2B6WQVHR0VZBUdHf7pZBUdHRVkFR0d%2FulkFR0dFWQVHR0AAAQAAAAABLAETAAPAB8ALwA%2FAAATITIWHQEUBiMhIiY9ATQ2EyEyFh0BFAYjISImPQE0NhMhMhYdARQGIyEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2MgRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dFQRMFR0dFfu0FR0dBEwdFWQVHR0VZBUd%2FtQdFWQVHR0VZBUd%2FtQdFWQVHR0VZBUd%2FtQdFWQVHR0VZBUdAAgAAAAABLAETAAPAB8ALwA%2FAE8AXwBvAH8AABMzMhYdARQGKwEiJj0BNDYpATIWHQEUBiMhIiY9ATQ2ATMyFh0BFAYrASImPQE0NikBMhYdARQGIyEiJj0BNDYBMzIWHQEUBisBIiY9ATQ2KQEyFh0BFAYjISImPQE0NgEzMhYdARQGKwEiJj0BNDYpATIWHQEUBiMhIiY9ATQ2MmQVHR0VZBUdHQFBAyAVHR0V%2FOAVHR3%2B6WQVHR0VZBUdHQFBAyAVHR0V%2FOAVHR3%2B6WQVHR0VZBUdHQFBAyAVHR0V%2FOAVHR3%2B6WQVHR0VZBUdHQFBAyAVHR0V%2FOAVHR0ETB0VZBUdHRVkFR0dFWQVHR0VZBUd%2FtQdFWQVHR0VZBUdHRVkFR0dFWQVHf7UHRVkFR0dFWQVHR0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR0dFWQVHR0VZBUdAAAG%2F5wAAASwBEwAAwATACMAKgA6AEoAACEjETsCMhYdARQGKwEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2BQc1IzUzNQUhMhYdARQGIyEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2AZBkZJZkFR0dFWQVHR0VAfQVHR0V%2FgwVHR3%2B%2BqfIyAHCASwVHR0V%2FtQVHR0VAlgVHR0V%2FagVHR0ETB0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR36fUtkS68dFWQVHR0VZBUd%2FtQdFWQVHR0VZBUdAAAABgAAAAAFFARMAA8AEwAjACoAOgBKAAATMzIWHQEUBisBIiY9ATQ2ASMRMwEhMhYdARQGIyEiJj0BNDYFMxUjFSc3BSEyFh0BFAYjISImPQE0NhMhMhYdARQGIyEiJj0BNDYyZBUdHRVkFR0dA2dkZPyuAfQVHR0V%2FgwVHR0EL8jIp6f75gEsFR0dFf7UFR0dFQJYFR0dFf2oFR0dBEwdFWQVHR0VZBUd%2B7QETP7UHRVkFR0dFWQVHchkS319rx0VZBUdHRVkFR3%2B1B0VZBUdHRVkFR0AAAAAAgAAAMgEsAPoAA8AEgAAEyEyFhURFAYjISImNRE0NgkCSwLuHywsH%2F0SHywsBIT%2B1AEsA%2BgsH%2F12HywsHwKKHyz9RAEsASwAAwAAAAAEsARMAA8AFwAfAAATITIWFREUBiMhIiY1ETQ2FxE3BScBExEEMhYUBiImNCwEWBIaGhL7qBIaGkr3ASpKASXs%2FNJwTk5wTgRMGhL8DBIaGhID9BIaZP0ftoOcAT7%2B4AH0dE5vT09vAAAAAAIA2wAFBDYEkQAWAB4AAAEyHgEVFAcOAQ8BLgQnJjU0PgIWIgYUFjI2NAKIdcZzRkWyNjYJIV5YbSk8RHOft7eCgreCBJF4ynVzj23pPz4IIWZomEiEdVijeUjDgriBgbgAAAACABcAFwSZBJkADwAXAAAAMh4CFA4CIi4CND4BAREiDgEUHgEB4%2BrWm1tbm9bq1ptbW5sBS3TFcnLFBJlbm9bq1ptbW5vW6tab%2FG8DVnLF6MVyAAACAHUAAwPfBQ8AGgA1AAABHgYVFA4DBy4DNTQ%2BBQMOAhceBBcWNj8BNiYnLgInJjc2IyYCKhVJT1dOPiUzVnB9P1SbfEokP0xXUEm8FykoAwEbITEcExUWAgYCCQkFEikMGiACCAgFD0iPdXdzdYdFR4BeRiYEBTpjl1lFh3ZzeHaQ%2Ff4hS4I6JUEnIw4IBwwQIgoYBwQQQSlZtgsBAAAAAwAAAAAEywRsAAwAKgAvAAABNz4CHgEXHgEPAiUhMhcHISIGFREUFjMhMjY9ATcRFAYjISImNRE0NgkBBzcBA%2BhsAgYUFR0OFgoFBmz9BQGQMje7%2FpApOzspAfQpO8i7o%2F5wpbm5Azj%2BlqE3AWMD9XMBAgIEDw4WKgsKc8gNuzsp%2FgwpOzsptsj%2BtKW5uaUBkKW5%2Ftf%2BljKqAWMAAgAAAAAEkwRMABsANgAAASEGByMiBhURFBYzITI2NTcVFAYjISImNRE0NgUBFhQHAQYmJzUmDgMHPgY3NT4BAV4BaaQ0wyk7OykB9Ck7yLml%2FnClubkCfwFTCAj%2BrAcLARo5ZFRYGgouOUlARioTAQsETJI2Oyn%2BDCk7OymZZ6W5uaUBkKW5G%2F7TBxUH%2Fs4GBAnLAQINFjAhO2JBNB0UBwHSCgUAAAAAAgAAAAAEnQRMAB0ANQAAASEyFwchIgYVERQWMyEyNj0BNxUUBiMhIiY1ETQ2CQE2Mh8BFhQHAQYiLwEmND8BNjIfARYyAV4BXjxDsv6jKTs7KQH0KTvIuaX%2BcKW5uQHKAYsHFQdlBwf97QcVB%2FgHB2UHFQdvCBQETBexOyn%2BDCk7OylFyNulubmlAZCluf4zAYsHB2UHFQf97AcH%2BAcVB2UHB28HAAAAAQAKAAoEpgSmADsAAAkBNjIXARYGKwEVMzU0NhcBFhQHAQYmPQEjFTMyFgcBBiInASY2OwE1IxUUBicBJjQ3ATYWHQEzNSMiJgE%2BAQgIFAgBBAcFCqrICggBCAgI%2FvgICsiqCgUH%2FvwIFAj%2B%2BAgFCq%2FICgj%2B%2BAgIAQgICsivCgUDlgEICAj%2B%2BAgKyK0KBAf%2B%2FAcVB%2F73BwQKrcgKCP74CAgBCAgKyK0KBAcBCQcVBwEEBwQKrcgKAAEAyAAAA4QETAAZAAATMzIWFREBNhYVERQGJwERFAYrASImNRE0NvpkFR0B0A8VFQ%2F%2BMB0VZBUdHQRMHRX%2BSgHFDggV%2FBgVCA4Bxf5KFR0dFQPoFR0AAAABAAAAAASwBEwAIwAAEzMyFhURATYWFREBNhYVERQGJwERFAYnAREUBisBIiY1ETQ2MmQVHQHQDxUB0A8VFQ%2F%2BMBUP%2FjAdFWQVHR0ETB0V%2FkoBxQ4IFf5KAcUOCBX8GBUIDgHF%2FkoVCA4Bxf5KFR0dFQPoFR0AAAABAJ0AGQSwBDMAFQAAAREUBicBERQGJwEmNDcBNhYVEQE2FgSwFQ%2F%2BMBUP%2FhQPDwHsDxUB0A8VBBr8GBUIDgHF%2FkoVCA4B4A4qDgHgDggV%2FkoBxQ4IAAAAAQDIABYEMwQ2AAsAABMBFhQHAQYmNRE0NvMDLhIS%2FNISGRkEMv4OCx4L%2Fg4LDhUD6BUOAAIAyABkA4QD6AAPAB8AABMzMhYVERQGKwEiJjURNDYhMzIWFREUBisBIiY1ETQ2%2BsgVHR0VyBUdHQGlyBUdHRXIFR0dA%2BgdFfzgFR0dFQMgFR0dFfzgFR0dFQMgFR0AAAEAyABkBEwD6AAPAAABERQGIyEiJjURNDYzITIWBEwdFfzgFR0dFQMgFR0DtvzgFR0dFQMgFR0dAAAAAAEAAAAZBBMEMwAVAAABETQ2FwEWFAcBBiY1EQEGJjURNDYXAfQVDwHsDw%2F%2BFA8V%2FjAPFRUPAmQBthUIDv4gDioO%2FiAOCBUBtv47DggVA%2BgVCA4AAAH%2F%2FgACBLMETwAjAAABNzIWFRMUBiMHIiY1AwEGJjUDAQYmNQM0NhcBAzQ2FwEDNDYEGGQUHgUdFWQVHQL%2BMQ4VAv4yDxUFFQ8B0gIVDwHSAh0ETgEdFfwYFR0BHRUBtf46DwkVAbX%2BOQ4JFAPoFQkP%2Fj4BthQJDv49AbYVHQAAAQEsAAAD6ARMABkAAAEzMhYVERQGKwEiJjURAQYmNRE0NhcBETQ2A1JkFR0dFWQVHf4wDxUVDwHQHQRMHRX8GBUdHRUBtv47DggVA%2BgVCA7%2BOwG2FR0AAAIAZADIBLAESAALABsAAAkBFgYjISImNwE2MgEhMhYdARQGIyEiJj0BNDYCrgH1DwkW%2B%2B4WCQ8B9Q8q%2FfcD6BUdHRX8GBUdHQQ5%2FeQPFhYPAhwP%2FUgdFWQVHR0VZBUdAAEAiP%2F8A3UESgAFAAAJAgcJAQN1%2FqABYMX92AIoA4T%2Bn%2F6fxgIoAiYAAAAAAQE7%2F%2FwEKARKAAUAAAkBJwkBNwQo%2FdnGAWH%2Bn8YCI%2F3ZxgFhAWHGAAIAFwAXBJkEmQAPADMAAAAyHgIUDgIiLgI0PgEFIyIGHQEjIgYdARQWOwEVFBY7ATI2PQEzMjY9ATQmKwE1NCYB4%2BrWm1tbm9bq1ptbW5sBfWQVHZYVHR0Vlh0VZBUdlhUdHRWWHQSZW5vW6tabW1ub1urWm7odFZYdFWQVHZYVHR0Vlh0VZBUdlhUdAAAAAAIAFwAXBJkEmQAPAB8AAAAyHgIUDgIiLgI0PgEBISIGHQEUFjMhMjY9ATQmAePq1ptbW5vW6tabW1ubAkX%2BDBUdHRUB9BUdHQSZW5vW6tabW1ub1urWm%2F5%2BHRVkFR0dFWQVHQACABcAFwSZBJkADwAzAAAAMh4CFA4CIi4CND4BBCIPAScmIg8BBhQfAQcGFB8BFjI%2FARcWMj8BNjQvATc2NC8BAePq1ptbW5vW6tabW1ubAeUZCXh4CRkJjQkJeHgJCY0JGQl4eAkZCY0JCXh4CQmNBJlbm9bq1ptbW5vW6tabrQl4eAkJjQkZCXh4CRkJjQkJeHgJCY0JGQl4eAkZCY0AAgAXABcEmQSZAA8AJAAAADIeAhQOAiIuAjQ%2BAQEnJiIPAQYUHwEWMjcBNjQvASYiBwHj6tabW1ub1urWm1tbmwEVVAcVCIsHB%2FIHFQcBdwcHiwcVBwSZW5vW6tabW1ub1urWm%2F4xVQcHiwgUCPEICAF3BxUIiwcHAAAAAAMAFwAXBJkEmQAPADsASwAAADIeAhQOAiIuAjQ%2BAQUiDgMVFDsBFjc%2BATMyFhUUBgciDgUHBhY7ATI%2BAzU0LgMTIyIGHQEUFjsBMjY9ATQmAePq1ptbW5vW6tabW1ubAT8dPEIyIRSDHgUGHR8UFw4TARkOGhITDAIBDQ6tBx4oIxgiM0Q8OpYKDw8KlgoPDwSZW5vW6tabW1ub1urWm5ELHi9PMhkFEBQQFRIXFgcIBw4UHCoZCBEQKDhcNi9IKhsJ%2FeMPCpYKDw8KlgoPAAADABcAFwSZBJkADwAfAD4AAAAyHgIUDgIiLgI0PgEFIyIGHQEUFjsBMjY9ATQmAyMiBh0BFBY7ARUjIgYdARQWMyEyNj0BNCYrARE0JgHj6tabW1ub1urWm1tbmwGWlgoPDwqWCg8PCvoKDw8KS0sKDw8KAV4KDw8KSw8EmVub1urWm1tbm9bq1ptWDwqWCg8PCpYKD%2F7UDwoyCg%2FIDwoyCg8PCjIKDwETCg8AAgAAAAAEsASwAC8AXwAAATMyFh0BHgEXMzIWHQEUBisBDgEHFRQGKwEiJj0BLgEnIyImPQE0NjsBPgE3NTQ2ExUUBisBIiY9AQ4BBzMyFh0BFAYrAR4BFzU0NjsBMhYdAT4BNyMiJj0BNDY7AS4BAg2WCg9nlxvCCg8PCsIbl2cPCpYKD2eXG8IKDw8KwhuXZw%2B5DwqWCg9EZheoCg8PCqgXZkQPCpYKD0RmF6gKDw8KqBdmBLAPCsIbl2cPCpYKD2eXG8IKDw8KwhuXZw8KlgoPZ5cbwgoP%2Fs2oCg8PCqgXZkQPCpYKD0RmF6gKDw8KqBdmRA8KlgoPRGYAAwAXABcEmQSZAA8AGwA%2FAAAAMh4CFA4CIi4CND4BBCIOARQeATI%2BATQmBxcWFA8BFxYUDwEGIi8BBwYiLwEmND8BJyY0PwE2Mh8BNzYyAePq1ptbW5vW6tabW1ubAb%2FoxXJyxejFcnKaQAcHfHwHB0AHFQd8fAcVB0AHB3x8BwdABxUHfHwHFQSZW5vW6tabW1ub1urWmztyxejFcnLF6MVaQAcVB3x8BxUHQAcHfHwHB0AHFQd8fAcVB0AHB3x8BwAAAAMAFwAXBJkEmQAPABsAMAAAADIeAhQOAiIuAjQ%2BAQQiDgEUHgEyPgE0JgcXFhQHAQYiLwEmND8BNjIfATc2MgHj6tabW1ub1urWm1tbmwG%2F6MVycsXoxXJyg2oHB%2F7ACBQIyggIagcVB0%2FFBxUEmVub1urWm1tbm9bq1ps7csXoxXJyxejFfWoHFQf%2BvwcHywcVB2oICE%2FFBwAAAAMAFwAXBJkEmQAPABgAIQAAADIeAhQOAiIuAjQ%2BAQUiDgEVFBcBJhcBFjMyPgE1NAHj6tabW1ub1urWm1tbmwFLdMVyQQJLafX9uGhzdMVyBJlbm9bq1ptbW5vW6tabO3LFdHhpAktB0P24PnLFdHMAAAAAAQAXAFMEsAP5ABUAABMBNhYVESEyFh0BFAYjIREUBicBJjQnAgoQFwImFR0dFf3aFxD99hACRgGrDQoV%2Ft0dFcgVHf7dFQoNAasNJgAAAAABAAAAUwSZA%2FkAFQAACQEWFAcBBiY1ESEiJj0BNDYzIRE0NgJ%2FAgoQEP32EBf92hUdHRUCJhcD8f5VDSYN%2FlUNChUBIx0VyBUdASMVCgAAAAEAtwAABF0EmQAVAAAJARYGIyERFAYrASImNREhIiY3ATYyAqoBqw0KFf7dHRXIFR3%2B3RUKDQGrDSYEif32EBf92hUdHRUCJhcQAgoQAAAAAQC3ABcEXQSwABUAAAEzMhYVESEyFgcBBiInASY2MyERNDYCJsgVHQEjFQoN%2FlUNJg3%2BVQ0KFQEjHQSwHRX92hcQ%2FfYQEAIKEBcCJhUdAAABAAAAtwSZBF0AFwAACQEWFAcBBiY1EQ4DBz4ENxE0NgJ%2FAgoQEP32EBdesKWBJAUsW4fHfhcEVf5VDSYN%2FlUNChUBIwIkRHVNabGdcUYHAQYVCgACAAAAAASwBLAAFQArAAABITIWFREUBi8BBwYiLwEmND8BJyY2ASEiJjURNDYfATc2Mh8BFhQPARcWBgNSASwVHRUOXvkIFAhqBwf5Xg4I%2FiH%2B1BUdFQ5e%2BQgUCGoHB%2FleDggEsB0V%2FtQVCA5e%2BQcHaggUCPleDhX7UB0VASwVCA5e%2BQcHaggUCPleDhUAAAACAEkASQRnBGcAFQArAAABFxYUDwEXFgYjISImNRE0Nh8BNzYyASEyFhURFAYvAQcGIi8BJjQ%2FAScmNgP2agcH%2BV4OCBX%2B1BUdFQ5e%2BQgU%2FQwBLBUdFQ5e%2BQgUCGoHB%2FleDggEYGoIFAj5Xg4VHRUBLBUIDl75B%2F3xHRX%2B1BUIDl75BwdqCBQI%2BV4OFQAAAAADABcAFwSZBJkADwAfAC8AAAAyHgIUDgIiLgI0PgEFIyIGFxMeATsBMjY3EzYmAyMiBh0BFBY7ATI2PQE0JgHj6tabW1ub1urWm1tbmwGz0BQYBDoEIxQ2FCMEOgQYMZYKDw8KlgoPDwSZW5vW6tabW1ub1urWm7odFP7SFB0dFAEuFB3%2BDA8KlgoPDwqWCg8AAAAABQAAAAAEsASwAEkAVQBhAGgAbwAAATIWHwEWHwEWFxY3Nj8BNjc2MzIWHwEWHwIeATsBMhYdARQGKwEiBh0BIREjESE1NCYrASImPQE0NjsBMjY1ND8BNjc%2BBAUHBhY7ATI2LwEuAQUnJgYPAQYWOwEyNhMhIiY1ESkBERQGIyERAQQJFAUFFhbEFQ8dCAsmxBYXERUXMA0NDgQZCAEPCj0KDw8KMgoP%2FnDI%2FnAPCjIKDw8KPQsOCRkFDgIGFRYfAp2mBwQK2woKAzMDEP41sQgQAzMDCgrnCwMe%2FokKDwGQAlgPCv6JBLAEAgIKDXYNCxUJDRZ2DQoHIREQFRh7LAkLDwoyCg8PCq8BLP7UrwoPDwoyCg8GBQQwgBkUAwgWEQ55ogcKDgqVCgSqnQcECo8KDgr8cg8KAXf%2BiQoPAZAAAAAAAgAAAAwErwSmACsASQAAATYWFQYCDgQuAScmByYOAQ8BBiY1NDc%2BATc%2BAScuAT4BNz4GFyYGBw4BDwEOBAcOARY2Nz4CNz4DNz4BBI0IGgItQmxhi2KORDg9EQQRMxuZGhYqCFUYEyADCQIQOjEnUmFch3vAJQgdHyaiPT44XHRZUhcYDhItIRmKcVtGYWtbKRYEBKYDEwiy%2Ft3IlVgxEQgLCwwBAQIbG5kYEyJAJghKFRE8Hzdff4U%2FM0o1JSMbL0QJGCYvcSEhHjZST2c1ODwEJygeW0AxJUBff1UyFAABAF0AHgRyBM8ATwAAAQ4BHgQXLgc%2BATceAwYHDgQHBicmNzY3PgQuAScWDgMmJy4BJyY%2BBDcGHgM3PgEuAicmPgMCjScfCic4R0IgBBsKGAoQAwEJEg5gikggBhANPkpTPhZINx8SBgsNJysiCRZOQQoVNU1bYC9QZwICBAUWITsoCAYdJzIYHw8YIiYHDyJJYlkEz0OAZVxEOSQMBzgXOB42IzElKRIqg5Gnl0o3Z0c6IAYWCwYNAwQFIDhHXGF1OWiqb0sdBxUknF0XNTQ8PEUiNWNROBYJDS5AQVUhVZloUSkAAAAAA%2F%2FcAGoE1ARGABsAPwBRAAAAMh4FFA4FIi4FND4EBSYGFxYVFAYiJjU0NzYmBwYHDgEXHgQyPgM3NiYnJgUHDgEXFhcWNj8BNiYnJicuAQIGpJ17bk85HBw6T257naKde25POhwcOU9uewIPDwYIGbD4sBcIBw5GWg0ECxYyWl%2BDiINfWjIWCwQMWv3%2FIw8JCSU4EC0OIw4DDywtCyIERi1JXGJcSSpJXGJcSS0tSVxiXEkqSVxiXEncDwYTOT58sLB8OzcTBg9FcxAxEiRGXkQxMEVeRSQSMRF1HiQPLxJEMA0EDyIPJQ8sSRIEAAAABP%2FcAAAE1ASwABQAJwA7AEwAACEjNy4ENTQ%2BBTMyFzczEzceARUUDgMHNz4BNzYmJyYlBgcOARceBBc3LgE1NDc2JhcHDgEXFhcWNj8CJyYnLgECUJQfW6l2WSwcOU9ue51SPUEglCYvbIknUGqYUi5NdiYLBAw2%2FVFGWg0ECxIqSExoNSlrjxcIB3wjDwkJJTgQLQ4MFgMsLQsieBRhdHpiGxVJXGJcSS0Pef5StVXWNBpacm5jGq0xiD8SMRFGckVzEDESHjxRQTkNmhKnbjs3EwZwJA8vEkQwDQQPC1YELEkSBAAAAAP%2FngAABRIEqwALABgAKAAAJwE2FhcBFgYjISImJSE1NDY7ATIWHQEhAQczMhYPAQ4BKwEiJi8BJjZaAoIUOBQCghUbJfryJRsBCgFZDwqWCg8BWf5DaNAUGAQ6BCMUNhQjBDoEGGQEKh8FIfvgIEdEhEsKDw8KSwLT3x0U%2FBQdHRT8FB0AAAABAGQAFQSwBLAAKAAAADIWFREBHgEdARQGJyURFh0BFAYvAQcGJj0BNDcRBQYmPQE0NjcBETQCTHxYAWsPFhgR%2FplkGhPNzRMaZP6ZERgWDwFrBLBYPv6t%2FrsOMRQpFA0M%2Bf75XRRAFRAJgIAJEBVAFF0BB%2FkMDRQpFDEOAUUBUz4AAAARAAAAAARMBLAAHQAnACsALwAzADcAOwA%2FAEMARwBLAE8AUwBXAFsAXwBjAAABMzIWHQEzMhYdASE1NDY7ATU0NjsBMhYdASE1NDYBERQGIyEiJjURFxUzNTMVMzUzFTM1MxUzNTMVMzUFFTM1MxUzNTMVMzUzFTM1MxUzNQUVMzUzFTM1MxUzNTMVMzUzFTM1A1JkFR0yFR37tB0VMh0VZBUdAfQdAQ8dFfwYFR1kZGRkZGRkZGRk%2FHxkZGRkZGRkZGT8fGRkZGRkZGRkZASwHRUyHRWWlhUdMhUdHRUyMhUd%2FnD9EhUdHRUC7shkZGRkZGRkZGRkyGRkZGRkZGRkZGTIZGRkZGRkZGRkZAAAAAMAAAAZBXcElwAZACUANwAAARcWFA8BBiY9ASMBISImPQE0NjsBATM1NDYBBycjIiY9ATQ2MyEBFxYUDwEGJj0BIyc3FzM1NDYEb%2FkPD%2FkOFZ%2F9qP7dFR0dFdECWPEV%2FamNetEVHR0VASMDGvkPD%2FkOFfG1jXqfFQSN5g4qDuYOCBWW%2FagdFWQVHQJYlhUI%2FpiNeh0VZBUd%2Fk3mDioO5g4IFZa1jXqWFQgAAAABAAAAAASwBEwAEgAAEyEyFhURFAYjIQERIyImNRE0NmQD6Ck7Oyn9rP7QZCk7OwRMOyn9qCk7%2FtQBLDspAlgpOwAAAAMAZAAABEwEsAAJABMAPwAAEzMyFh0BITU0NiEzMhYdASE1NDYBERQOBSIuBTURIRUUFRwBHgYyPgYmNTQ9AZbIFR3%2B1B0C0cgVHf7UHQEPBhgoTGacwJxmTCgYBgEsAwcNFB8nNkI2Jx8TDwUFAQSwHRX6%2BhUdHRX6%2BhUd%2FnD%2B1ClJalZcPigoPlxWakkpASz6CRIVKyclIRsWEAgJEBccISUnKhURCPoAAAAB%2F%2F8A1ARMA8IABQAAAQcJAScBBEzG%2Fp%2F%2Bn8UCJwGbxwFh%2Fp%2FHAicAAQAAAO4ETQPcAAUAAAkCNwkBBE392v3ZxgFhAWEDFf3ZAifH%2Fp8BYQAAAAAC%2F1EAZAVfA%2BgAFAApAAABITIWFREzMhYPAQYiLwEmNjsBESElFxYGKwERIRchIiY1ESMiJj8BNjIBlALqFR2WFQgO5g4qDuYOCBWW%2FoP%2BHOYOCBWWAYHX%2FRIVHZYVCA7mDioD6B0V%2FdkVDvkPD%2FkOFQGRuPkOFf5wyB0VAiYVDvkPAAABAAYAAASeBLAAMAAAEzMyFh8BITIWBwMOASMhFyEyFhQGKwEVFAYiJj0BIRUUBiImPQEjIiYvAQMjIiY0NjheERwEJgOAGB4FZAUsIf2HMAIXFR0dFTIdKh3%2B1B0qHR8SHQYFyTYUHh4EsBYQoiUY%2FiUVK8gdKh0yFR0dFTIyFR0dFTIUCQoDwR0qHQAAAAACAAAAAASwBEwACwAPAAABFSE1MzQ2MyEyFhUFIREhBLD7UMg7KQEsKTv9RASw%2B1AD6GRkKTs7Kcj84AACAAAAAAXcBEwADAAQAAATAxEzNDYzITIWFSEVBQEhAcjIyDspASwqOgH0ASz%2B1PtQASwDIP5wAlgpOzspyGT9RAK8AAEBRQAAA2sErwAbAAABFxYGKwERMzIWDwEGIi8BJjY7AREjIiY%2FATYyAnvmDggVlpYVCA7mDioO5g4IFZaWFQgO5g4qBKD5DhX9pxUO%2BQ8P%2BQ4VAlkVDvkPAAAAAQABAUQErwNrABsAAAEXFhQPAQYmPQEhFRQGLwEmND8BNhYdASE1NDYDqPkODvkPFf2oFQ%2F5Dg75DxUCWBUDYOUPKQ%2FlDwkUl5cUCQ%2FlDykP5Q8JFZWVFQkAAAAEAAAAAASwBLAACQAZAB0AIQAAAQMuASMhIgYHAwUhIgYdARQWMyEyNj0BNCYFNTMVMzUzFQSRrAUkFP1gFCQFrAQt%2FBgpOzspA%2BgpOzv%2Bq2RkZAGQAtwXLSgV%2FR1kOylkKTs7KWQpO8hkZGRkAAAAA%2F%2BcAGQEsARMAAsAIwAxAAAAMhYVERQGIiY1ETQDJSMTFgYjIisBIiYnAj0BNDU0PgE7ASUBFSIuAz0BND4CNwRpKh0dKh1k%2FV0mLwMRFQUCVBQdBDcCCwzIAqP8GAQOIhoWFR0dCwRMHRX8rhUdHRUDUhX8mcj%2B7BAIHBUBUQ76AgQQDw36%2FtT6AQsTKRwyGigUDAEAAAACAEoAAARmBLAALAA1AAABMzIWDwEeARcTFzMyFhQGBw4EIyIuBC8BLgE0NjsBNxM%2BATcnJjYDFjMyNw4BIiYCKV4UEgYSU3oPP3YRExwaEggeZGqfTzl0XFU%2BLwwLEhocExF2Pw96UxIGEyQyNDUxDDdGOASwFRMlE39N%2FrmtHSkoBwQLHBYSCg4REg4FBAgoKR2tAUdNfhQgExr7vgYGMT09AAEAFAAUBJwEnAAXAAABNwcXBxcHFycHJwcnBzcnNyc3Jxc3FzcDIOBO6rS06k7gLZubLeBO6rS06k7gLZubA7JO4C2bmy3gTuq0tOpO4C2bmy3gTuq0tAADAAAAZASwBLAAIQAtAD0AAAEzMhYdAQchMhYdARQHAw4BKwEiJi8BIyImNRE0PwI%2BARcPAREzFzMTNSE3NQEzMhYVERQGKwEiJjURNDYCijIoPBwBSCg8He4QLBf6B0YfHz0tNxSRYA0xG2SWZIjW%2Bv4%2BMv12ZBUdHRVkFR0dBLBRLJZ9USxkLR3%2BqBghMhkZJCcBkCQbxMYcKGTU1f6JZAF3feGv%2FtQdFf4MFR0dFQH0FR0AAAAAAwAAAAAEsARMACAAMAA8AAABMzIWFxMWHQEUBiMhFh0BFAYrASImLwImNRE0NjsBNgUzMhYVERQGKwEiJjURNDYhByMRHwEzNSchNQMCWPoXLBDuHTwo%2FrgcPCgyGzENYJEUNy09fP3pZBUdHRVkFR0dAl%2BIZJZkMjIBwvoETCEY%2FqgdLWQsUXYHlixRKBzGxBskAZAnJGRkHRX%2BDBUdHRUB9BUdZP6J1dSv4X0BdwADAAAAZAUOBE8AGwA3AEcAAAElNh8BHgEPASEyFhQGKwEDDgEjISImNRE0NjcXERchEz4BOwEyNiYjISoDLgQnJj8BJwUzMhYVERQGKwEiJjURNDYBZAFrHxZuDQEMVAEuVGxuVGqDBhsP%2FqoHphwOOmQBJYMGGw%2FLFRMSFv44AgoCCQMHAwUDAQwRklb9T2QVHR0VZBUdHQNp5hAWcA0mD3lMkE7%2BrRUoog0CDRElCkj%2BCVkBUxUoMjIBAgIDBQIZFrdT5B0V%2FgwVHR0VAfQVHQAAAAP%2FnABkBLAETwAdADYARgAAAQUeBBURFAYjISImJwMjIiY0NjMhJyY2PwE2BxcWBw4FKgIjIRUzMhYXEyE3ESUFMzIWFREUBisBIiY1ETQ2AdsBbgIIFBANrAf%2Bqg8bBoNqVW1sVAEuVQsBDW4WSpIRDAIDBQMHAwkDCgH%2BJd0PHAaCASZq%2FqoCUGQVHR0VZBUdHQRP5gEFEBEXC%2F3zDaIoFQFTTpBMeQ8mDXAWrrcWGQIFAwICAWQoFf6tWQH37OQdFf4MFR0dFQH0FR0AAAADAGEAAARMBQ4AGwA3AEcAAAAyFh0BBR4BFREUBiMhIiYvAQMmPwE%2BAR8BETQXNTQmBhURHAMOBAcGLwEHEyE3ESUuAQMhMhYdARQGIyEiJj0BNDYB3pBOAVMVKKIN%2FfMRJQoJ5hAWcA0mD3nGMjIBAgIDBQIZFrdT7AH3Wf6tFSiWAfQVHR0V%2FgwVHR0FDm5UaoMGGw%2F%2BqgemHA4OAWsfFm4NAQxUAS5U1ssVExIW%2FjgCCgIJAwcDBQMBDBGSVv6tZAElgwYb%2FQsdFWQVHR0VZBUdAAP%2F%2FQAGA%2BgFFAAPAC0ASQAAASEyNj0BNCYjISIGHQEUFgEVFAYiJjURBwYmLwEmNxM%2BBDMhMhYVERQGBwEDFzc2Fx4FHAIVERQWNj0BNDY3JREnAV4B9BUdHRX%2BDBUdHQEPTpBMeQ8mDXAWEOYBBRARFwsCDQ2iKBX9iexTtxYZAgUDAgIBMjIoFQFTWQRMHRVkFR0dFWQVHfzmalRubFQBLlQMAQ1uFh8BawIIEw8Mpgf%2Bqg8bBgHP%2Fq1WkhEMAQMFAwcDCQIKAv44FhITFcsPGwaDASVkAAIAFgAWBJoEmgAPACUAAAAyHgIUDgIiLgI0PgEBJSYGHQEhIgYdARQWMyEVFBY3JTY0AeLs1ptbW5vW7NabW1ubAob%2B7RAX%2Fu0KDw8KARMXEAETEASaW5vW7NabW1ub1uzWm%2F453w0KFYkPCpYKD4kVCg3fDSYAAAIAFgAWBJoEmgAPACUAAAAyHgIUDgIiLgI0PgENAQYUFwUWNj0BITI2PQE0JiMhNTQmAeLs1ptbW5vW7NabW1ubASX%2B7RAQARMQFwETCg8PCv7tFwSaW5vW7NabW1ub1uzWm%2BjfDSYN3w0KFYkPCpYKD4kVCgAAAAIAFgAWBJoEmgAPACUAAAAyHgIUDgIiLgI0PgEBAyYiBwMGFjsBERQWOwEyNjURMzI2AeLs1ptbW5vW7NabW1ubAkvfDSYN3w0KFYkPCpYKD4kVCgSaW5vW7NabW1ub1uzWm%2F5AARMQEP7tEBf%2B7QoPDwoBExcAAAIAFgAWBJoEmgAPACUAAAAyHgIUDgIiLgI0PgEFIyIGFREjIgYXExYyNxM2JisBETQmAeLs1ptbW5vW7NabW1ubAZeWCg%2BJFQoN3w0mDd8NChWJDwSaW5vW7NabW1ub1uzWm7sPCv7tFxD%2B7RAQARMQFwETCg8AAAMAGAAYBJgEmAAPAJYApgAAADIeAhQOAiIuAjQ%2BASUOAwcGJgcOAQcGFgcOAQcGFgcUFgcyHgEXHgIXHgI3Fg4BFx4CFxQGFBcWNz4CNy4BJy4BJyIOAgcGJyY2NS4BJzYuAQYHBicmNzY3HgIXHgMfAT4CJyY%2BATc%2BAzcmNzIWMjY3LgMnND4CJiceAT8BNi4CJwYHFB4BFS4CJz4BNxYyPgEB5OjVm1xcm9Xo1ZtcXJsBZA8rHDoKDz0PFD8DAxMBAzEFCRwGIgEMFhkHECIvCxU%2FOR0HFBkDDRQjEwcFaHUeISQDDTAMD0UREi4oLBAzDwQBBikEAQMLGhIXExMLBhAGKBsGBxYVEwYFAgsFAwMNFwQGCQcYFgYQCCARFwkKKiFBCwQCAQMDHzcLDAUdLDgNEiEQEgg%2FKhADGgMKEgoRBJhcm9Xo1ZtcXJvV6NWbEQwRBwkCAwYFBycPCxcHInIWInYcCUcYChQECA4QBAkuHgQPJioRFRscBAcSCgwCch0kPiAIAQcHEAsBAgsLIxcBMQENCQIPHxkCFBkdHB4QBgEBBwoMGBENBAMMJSAQEhYXDQ4qFBkKEhIDCQsXJxQiBgEOCQwHAQ0DBAUcJAwSCwRnETIoAwEJCwsLJQcKDBEAAAAAAQAAAAIErwSFABYAAAE2FwUXNxYGBw4BJwEGIi8BJjQ3ASY2AvSkjv79kfsGUE08hjv9rA8rD28PDwJYIk8EhVxliuh%2BWYcrIgsW%2FawQEG4PKxACV2XJAAYAAABgBLAErAAPABMAIwAnADcAOwAAEyEyFh0BFAYjISImPQE0NgUjFTMFITIWHQEUBiMhIiY9ATQ2BSEVIQUhMhYdARQGIyEiJj0BNDYFIRUhZAPoKTs7KfwYKTs7BBHIyPwYA%2BgpOzsp%2FBgpOzsEEf4MAfT8GAPoKTs7KfwYKTs7BBH%2B1AEsBKw7KWQpOzspZCk7ZGTIOylkKTs7KWQpO2RkyDspZCk7OylkKTtkZAAAAAIAZAAABEwEsAALABEAABMhMhYUBiMhIiY0NgERBxEBIZYDhBUdHRX8fBUdHQI7yP6iA4QEsB0qHR0qHf1E%2FtTIAfQB9AAAAAMAAABkBLAEsAAXABsAJQAAATMyFh0BITIWFREhNSMVIRE0NjMhNTQ2FxUzNQEVFAYjISImPQEB9MgpOwEsKTv%2BDMj%2BDDspASw7KcgB9Dsp%2FBgpOwSwOylkOyn%2BcGRkAZApO2QpO2RkZP1EyCk7OynIAAAABAAAAAAEsASwABUAKwBBAFcAABMhMhYPARcWFA8BBiIvAQcGJjURNDYpATIWFREUBi8BBwYiLwEmND8BJyY2ARcWFA8BFxYGIyEiJjURNDYfATc2MgU3NhYVERQGIyEiJj8BJyY0PwE2MhcyASwVCA5exwcHaggUCMdeDhUdAzUBLBUdFQ5exwgUCGoHB8deDgj%2BL2oHB8deDggV%2FtQVHRUOXscIFALLXg4VHRX%2B1BUIDl7HBwdqCBQIBLAVDl7HCBQIagcHx14OCBUBLBUdHRX%2B1BUIDl7HBwdqCBQIx14OFf0maggUCMdeDhUdFQEsFQgOXscHzl4OCBX%2B1BUdFQ5exwgUCGoHBwAAAAYAAAAABKgEqAAPABsAIwA7AEMASwAAADIeAhQOAiIuAjQ%2BAQQiDgEUHgEyPgE0JiQyFhQGIiY0JDIWFAYjIicHFhUUBiImNTQ2PwImNTQEMhYUBiImNCQyFhQGIiY0Advy3Z9fX5%2Fd8t2gXl6gAcbgv29vv%2BC%2Fb2%2F%2BLS0gIC0gAUwtICAWDg83ETNIMykfegEJ%2FoctICAtIAIdLSAgLSAEqF%2Bf3fLdoF5eoN3y3Z9Xb7%2Fgv29vv%2BC%2FBiAtISEtICAtIQqRFxwkMzMkIDEFfgEODhekIC0gIC0gIC0gIC0AAf%2FYAFoEuQS8AFsAACUBNjc2JicmIyIOAwcABw4EFx4BMzI3ATYnLgEjIgcGBwEOASY0NwA3PgEzMhceARcWBgcOBgcGIyImJyY2NwE2NzYzMhceARcWBgcBDgEnLgECIgHVWwgHdl8WGSJBMD8hIP6IDx4eLRMNBQlZN0ozAiQkEAcdEhoYDRr%2Bqw8pHA4BRyIjQS4ODyw9DQ4YIwwod26La1YOOEBGdiIwGkQB%2F0coW2tQSE5nDxE4Qv4eDyoQEAOtAdZbZWKbEQQUGjIhH%2F6JDxsdNSg3HT5CMwIkJCcQFBcMGv6uDwEcKQ4BTSIjIQEINykvYyMLKnhuiWZMBxtAOU6%2BRAH%2FSBg3ISSGV121Qv4kDwIPDyYAAAACAGQAWASvBEQAGQBEAAABPgIeAhUUDgMHLgQ1ND4CHgEFIg4DIi4DIyIGFRQeAhcWFx4EMj4DNzY3PgQ1NCYCiTB7eHVYNkN5hKg%2BPqeFeEM4WnZ4eQEjIT8yLSohJyktPyJDbxtBMjMPBw86KzEhDSIzKUAMBAgrKT8dF2oDtURIBS1TdkA5eYB%2FslVVsn%2BAeTlAdlMtBUgtJjY1JiY1NiZvTRc4SjQxDwcOPCouGBgwKEALBAkpKkQqMhNPbQACADn%2F8gR3BL4AFwAuAAAAMh8BFhUUBg8BJi8BNycBFwcvASY0NwEDNxYfARYUBwEGIi8BJjQ%2FARYfAQcXAQKru0KNQjgiHR8uEl%2F3%2FnvUaRONQkIBGxJpCgmNQkL%2B5UK6Qo1CQjcdLhJf9wGFBL5CjUJeKmsiHTUuEl%2F4%2FnvUahKNQrpCARv%2BRmkICY1CukL%2B5UJCjUK7Qjc3LxFf%2BAGFAAAAAAMAyAAAA%2BgEsAARABUAHQAAADIeAhURFAYjISImNRE0PgEHESERACIGFBYyNjQCBqqaZDo7Kf2oKTs8Zj4CWP7%2FVj09Vj0EsB4uMhX8Ryk7OykDuRUzLar9RAK8%2FRY9Vj09VgABAAAAAASwBLAAFgAACQEWFAYiLwEBEScBBRMBJyEBJyY0NjIDhgEbDx0qDiT%2B6dT%2BzP7oywEz0gEsAQsjDx0qBKH%2B5g8qHQ8j%2FvX%2B1NL%2BzcsBGAE01AEXJA4qHQAAAAADAScAEQQJBOAAMgBAAEsAAAEVHgQXIy4DJxEXHgQVFAYHFSM1JicuASczHgEXEScuBDU0PgI3NRkBDgMVFB4DFxYXET4ENC4CArwmRVI8LAKfBA0dMydAIjxQNyiym2SWVygZA4sFV0obLkJOMCAyVWg6HSoqFQ4TJhkZCWgWKTEiGBkzNwTgTgUTLD9pQiQuLBsH%2Fs0NBxMtPGQ%2Bi6oMTU8QVyhrVk1iEAFPCA4ZLzlYNkZwSCoGTf4SARIEDh02Jh0rGRQIBgPQ%2FsoCCRYgNEM0JRkAAAABAGQAZgOUBK0ASgAAATIeARUjNC4CIyIGBwYVFB4BFxYXMxUjFgYHBgc%2BATM2FjMyNxcOAyMiLgEHDgEPASc%2BBTc%2BAScjNTMmJy4CPgE3NgIxVJlemSc8OxolVBQpGxoYBgPxxQgVFS02ImIWIIwiUzUyHzY4HCAXanQmJ1YYFzcEGAcTDBEJMAwk3aYXFQcKAg4tJGEErVCLTig%2FIhIdFSw5GkowKgkFZDKCHj4yCg8BIh6TExcIASIfBAMaDAuRAxAFDQsRCjePR2QvORQrREFMIVgAAAACABn%2F%2FwSXBLAADwAfAAABMzIWDwEGIi8BJjY7AREzBRcWBisBESMRIyImPwE2MgGQlhUIDuYOKg7mDggVlsgCF%2BYOCBWWyJYVCA7mDioBLBYO%2Bg8P%2Bg4WA4QQ%2BQ4V%2FHwDhBUO%2BQ8AAAQAGf%2F%2FA%2BgEsAAHABcAGwAlAAABIzUjFSMRIQEzMhYPAQYiLwEmNjsBETMFFTM1EwczFSE1NyM1IQPoZGRkASz9qJYVCA7mDioO5g4IFZbIAZFkY8jI%2FtTIyAEsArxkZAH0%2FHwWDvoPD%2FoOFgOEZMjI%2FRL6ZJb6ZAAAAAAEABn%2F%2FwPoBLAADwAZACEAJQAAATMyFg8BBiIvASY2OwERMwUHMxUhNTcjNSERIzUjFSMRIQcVMzUBkJYVCA7mDioO5g4IFZbIAljIyP7UyMgBLGRkZAEsx2QBLBYO%2Bg8P%2Bg4WA4SW%2BmSW%2BmT7UGRkAfRkyMgAAAAEABn%2F%2FwRMBLAADwAVABsAHwAAATMyFg8BBiIvASY2OwERMwEjESM1MxMjNSMRIQcVMzUBkJYVCA7mDioO5g4IFZbIAlhkZMhkZMgBLMdkASwWDvoPD%2FoOFgOE%2FgwBkGT7UGQBkGTIyAAAAAAEABn%2F%2FwRMBLAADwAVABkAHwAAATMyFg8BBiIvASY2OwERMwEjNSMRIQcVMzUDIxEjNTMBkJYVCA7mDioO5g4IFZbIArxkyAEsx2QBZGTIASwWDvoPD%2FoOFgOE%2FgxkAZBkyMj7tAGQZAAAAAAFABn%2F%2FwSwBLAADwATABcAGwAfAAABMzIWDwEGIi8BJjY7AREzBSM1MxMhNSETITUhEyE1IQGQlhUIDuYOKg7mDggVlsgB9MjIZP7UASxk%2FnABkGT%2BDAH0ASwWDvoPD%2FoOFgOEyMj%2BDMj%2BDMj%2BDMgABQAZ%2F%2F8EsASwAA8AEwAXABsAHwAAATMyFg8BBiIvASY2OwERMwUhNSEDITUhAyE1IQMjNTMBkJYVCA7mDioO5g4IFZbIAyD%2BDAH0ZP5wAZBk%2FtQBLGTIyAEsFg76Dw%2F6DhYDhMjI%2FgzI%2FgzI%2FgzIAAIAAAAABEwETAAPAB8AAAEhMhYVERQGIyEiJjURNDYFISIGFREUFjMhMjY1ETQmAV4BkKK8u6P%2BcKW5uQJn%2FgwpOzspAfQpOzsETLuj%2FnClubmlAZClucg7Kf4MKTs7KQH0KTsAAAAAAwAAAAAETARMAA8AHwArAAABITIWFREUBiMhIiY1ETQ2BSEiBhURFBYzITI2NRE0JgUXFhQPAQYmNRE0NgFeAZClubml%2FnCju7wCZP4MKTs7KQH0KTs7%2Fm%2F9ERH9EBgYBEy5pf5wpbm5pQGQo7vIOyn%2BDCk7OykB9Ck7gr4MJAy%2BDAsVAZAVCwAAAAADAAAAAARMBEwADwAfACsAAAEhMhYVERQGIyEiJjURNDYFISIGFREUFjMhMjY1ETQmBSEyFg8BBiIvASY2AV4BkKO7uaX%2BcKW5uQJn%2FgwpOzspAfQpOzv%2BFQGQFQsMvgwkDL4MCwRMvKL%2BcKW5uaUBkKO7yDsp%2FgwpOzspAfQpO8gYEP0REf0QGAAAAAMAAAAABEwETAAPAB8AKwAAASEyFhURFAYjISImNRE0NgUhIgYVERQWMyEyNjURNCYFFxYGIyEiJj8BNjIBXgGQpbm5pf5wo7u5Amf%2BDCk7OykB9Ck7O%2F77vgwLFf5wFQsMvgwkBEy5pf5wo7u8ogGQpbnIOyn%2BDCk7OykB9Ck7z%2F0QGBgQ%2FREAAAAAAgAAAAAFFARMAB8ANQAAASEyFhURFAYjISImPQE0NjMhMjY1ETQmIyEiJj0BNDYHARYUBwEGJj0BIyImPQE0NjsBNTQ2AiYBkKW5uaX%2BcBUdHRUBwik7Oyn%2BPhUdHb8BRBAQ%2FrwQFvoVHR0V%2BhYETLml%2FnCluR0VZBUdOykB9Ck7HRVkFR3p%2FuQOJg7%2B5A4KFZYdFcgVHZYVCgAAAQDZAAID1wSeACMAAAEXFgcGAgclMhYHIggBBwYrAScmNz4BPwEhIicmNzYANjc2MwMZCQgDA5gCASwYEQ4B%2Fvf%2B8wQMDgkJCQUCUCcn%2FtIXCAoQSwENuwUJEASeCQoRC%2F5TBwEjEv7K%2FsUFDwgLFQnlbm4TFRRWAS%2FTBhAAAAACAAAAAAT%2BBEwAHwA1AAABITIWHQEUBiMhIgYVERQWMyEyFh0BFAYjISImNRE0NgUBFhQHAQYmPQEjIiY9ATQ2OwE1NDYBXgGQFR0dFf4%2BKTs7KQHCFR0dFf5wpbm5AvEBRBAQ%2FrwQFvoVHR0V%2BhYETB0VZBUdOyn%2BDCk7HRVkFR25pQGQpbnp%2FuQOJg7%2B5A4KFZYdFcgVHZYVCgACAAAAAASwBLAAFQAxAAABITIWFREUBi8BAQYiLwEmNDcBJyY2ASMiBhURFBYzITI2PQE3ERQGIyEiJjURNDYzIQLuAZAVHRUObf7IDykPjQ8PAThtDgj%2B75wpOzspAfQpO8i7o%2F5wpbm5pQEsBLAdFf5wFQgObf7IDw%2BNDykPAThtDhX%2B1Dsp%2FgwpOzsplMj%2B1qW5uaUBkKW5AAADAA4ADgSiBKIADwAbACMAAAAyHgIUDgIiLgI0PgEEIg4BFB4BMj4BNCYEMhYUBiImNAHh7tmdXV2d2e7ZnV1dnQHD5sJxccLmwnFx%2FnugcnKgcgSiXZ3Z7tmdXV2d2e7ZnUdxwubCcXHC5sJzcqBycqAAAAMAAAAABEwEsAAVAB8AIwAAATMyFhURMzIWBwEGIicBJjY7ARE0NgEhMhYdASE1NDYFFTM1AcLIFR31FAoO%2FoEOJw3%2BhQ0JFfod%2FoUD6BUd%2B7QdA2dkBLAdFf6iFg%2F%2BVg8PAaoPFgFeFR38fB0V%2BvoVHWQyMgAAAAMAAAAABEwErAAVAB8AIwAACQEWBisBFRQGKwEiJj0BIyImNwE%2BAQEhMhYdASE1NDYFFTM1AkcBeg4KFfQiFsgUGPoUCw4Bfw4n%2FfkD6BUd%2B7QdA2dkBJ7%2BTQ8g%2BhQeHRX6IQ8BrxAC%2FH8dFfr6FR1kMjIAAwAAAAAETARLABQAHgAiAAAJATYyHwEWFAcBBiInASY0PwE2MhcDITIWHQEhNTQ2BRUzNQGMAXEHFQeLBwf98wcVB%2F7cBweLCBUH1APoFR37tB0DZ2QC0wFxBweLCBUH%2FfMICAEjCBQIiwcH%2FdIdFfr6FR1kMjIABAAAAAAETASbAAkAGQAjACcAABM3NjIfAQcnJjQFNzYWFQMOASMFIiY%2FASc3ASEyFh0BITU0NgUVMzWHjg4qDk3UTQ4CFtIOFQIBHRX9qxUIDtCa1P49A%2BgVHfu0HQNnZAP%2Fjg4OTdRMDyqa0g4IFf2pFB4BFQ7Qm9T9Oh0V%2BvoVHWQyMgAAAAQAAAAABEwEsAAPABkAIwAnAAABBR4BFRMUBi8BByc3JyY2EwcGIi8BJjQ%2FAQEhMhYdASE1NDYFFTM1AV4CVxQeARUO0JvUm9IOCMNMDyoOjg4OTf76A%2BgVHfu0HQNnZASwAgEdFf2rFQgO0JrUmtIOFf1QTQ4Ojg4qDk3%2BWB0V%2BvoVHWQyMgACAAT%2F7ASwBK8ABQAIAAAlCQERIQkBFQEEsP4d%2Fsb%2BcQSs%2FTMCq2cBFP5xAacDHPz55gO5AAAAAAIAAABkBEwEsAAVABkAAAERFAYrAREhESMiJjURNDY7AREhETMHIzUzBEwdFZb9RJYVHR0V%2BgH0ZMhkZAPo%2FK4VHQGQ%2FnAdFQPoFB7%2B1AEsyMgAAAMAAABFBN0EsAAWABoALwAAAQcBJyYiDwEhESMiJjURNDY7AREhETMHIzUzARcWFAcBBiIvASY0PwE2Mh8BATYyBEwC%2FtVfCRkJlf7IlhUdHRX6AfRkyGRkAbBqBwf%2BXAgUCMoICGoHFQdPASkHFQPolf7VXwkJk%2F5wHRUD6BQe%2FtQBLMjI%2Fc5qBxUH%2FlsHB8sHFQdqCAhPASkHAAMAAAANBQcEsAAWABoAPgAAAREHJy4BBwEhESMiJjURNDY7AREhETMHIzUzARcWFA8BFxYUDwEGIi8BBwYiLwEmND8BJyY0PwE2Mh8BNzYyBExnhg8lEP72%2FreWFR0dFfoB9GTIZGQB9kYPD4ODDw9GDykPg4MPKQ9GDw%2BDgw8PRg8pD4ODDykD6P7zZ4YPAw7%2B9v5wHRUD6BQe%2FtQBLMjI%2FYxGDykPg4MPKQ9GDw%2BDgw8PRg8pD4ODDykPRg8Pg4MPAAADAAAAFQSXBLAAFQAZAC8AAAERISIGHQEhESMiJjURNDY7AREhETMHIzUzEzMyFh0BMzIWDwEGIi8BJjY7ATU0NgRM%2FqIVHf4MlhUdHRX6AfRkyGRklmQVHZYVCA7mDioO5g4IFZYdA%2Bj%2B1B0Vlv5wHRUD6BQe%2FtQBLMjI%2FagdFfoVDuYODuYOFfoVHQAAAAADAAAAAASXBLAAFQAZAC8AAAERJyYiBwEhESMiJjURNDY7AREhETMHIzUzExcWBisBFRQGKwEiJj0BIyImPwE2MgRMpQ4qDv75%2Fm6WFR0dFfoB9GTIZGTr5g4IFZYdFWQVHZYVCA7mDioD6P5wpQ8P%2Fvf%2BcB0VA%2BgUHv7UASzIyP2F5Q8V%2BhQeHhT6FQ%2FlDwADAAAAyASwBEwACQATABcAABMhMhYdASE1NDYBERQGIyEiJjURExUhNTIETBUd%2B1AdBJMdFfu0FR1kAZAETB0VlpYVHf7U%2FdoVHR0VAib%2B1MjIAAAGAAMAfQStBJcADwAZAB0ALQAxADsAAAEXFhQPAQYmPQEhNSE1NDYBIyImPQE0NjsBFyM1MwE3NhYdASEVIRUUBi8BJjQFIzU7AjIWHQEUBisBA6f4Dg74DhX%2BcAGQFf0vMhUdHRUyyGRk%2FoL3DhUBkP5wFQ73DwOBZGRkMxQdHRQzBI3mDioO5g4IFZbIlhUI%2FoUdFWQVHcjI%2FcvmDggVlsiWFQgO5g4qecgdFWQVHQAAAAACAGQAAASwBLAAFgBRAAABJTYWFREUBisBIiY1ES4ENRE0NiUyFh8BERQOAg8BERQGKwEiJjURLgQ1ETQ%2BAzMyFh8BETMRPAE%2BAjMyFh8BETMRND4DA14BFBklHRXIFR0EDiIaFiX%2B4RYZAgEVHR0LCh0VyBUdBA4iGhYBBwoTDRQZAgNkBQkVDxcZAQFkAQUJFQQxdBIUH%2FuuFR0dFQGNAQgbHzUeAWcfRJEZDA3%2BPhw%2FMSkLC%2F5BFR0dFQG%2FBA8uLkAcAcICBxENCxkMDf6iAV4CBxENCxkMDf6iAV4CBxENCwABAGQAAASwBEwAMwAAARUiDgMVERQWHwEVITUyNjURIREUFjMVITUyPgM1ETQmLwE1IRUiBhURIRE0JiM1BLAEDiIaFjIZGf5wSxn%2BDBlL%2FnAEDiIaFjIZGQGQSxkB9BlLBEw4AQUKFA78iBYZAQI4OA0lAYr%2BdiUNODgBBQoUDgN4FhkBAjg4DSX%2BdgGKJQ04AAAABgAAAAAETARMAAwAHAAgACQAKAA0AAABITIWHQEjBTUnITchBSEyFhURFAYjISImNRE0NhcVITUBBTUlBRUhNQUVFAYjIQchJyE3MwKjAXcVHWn%2B2cj%2BcGQBd%2F4lASwpOzsp%2FtQpOzspASwCvP5wAZD8GAEsArwdFf6JZP6JZAGQyGkD6B0VlmJiyGTIOyn%2BDCk7OykB9Ck7ZMjI%2FveFo4XGyMhm%2BBUdZGTIAAEAEAAQBJ8EnwAmAAATNzYWHwEWBg8BHgEXNz4BHwEeAQ8BBiIuBicuBTcRohEuDosOBhF3ZvyNdxEzE8ATBxGjAw0uMUxPZWZ4O0p3RjITCwED76IRBhPCFDERdo78ZXYRBA6IDi8RogEECBUgNUNjO0qZfHNVQBAAAAACAAAAAASwBEwAIwBBAAAAMh4EHwEVFAYvAS4BPQEmIAcVFAYPAQYmPQE%2BBRIyHgIfARUBHgEdARQGIyEiJj0BNDY3ATU0PgIB%2FLimdWQ%2FLAkJHRTKFB2N%2FsKNHRTKFB0DDTE7ZnTKcFImFgEBAW0OFR0V%2B7QVHRUOAW0CFiYETBUhKCgiCgrIFRgDIgMiFZIYGJIVIgMiAxgVyAQNJyQrIP7kExwcCgoy%2FtEPMhTUFR0dFdQUMg8BLzIEDSEZAAADAAAAAASwBLAADQAdACcAAAEHIScRMxUzNTMVMzUzASEyFhQGKwEXITcjIiY0NgMhMhYdASE1NDYETMj9qMjIyMjIyPyuArwVHR0VDIn8SokMFR0dswRMFR37UB0CvMjIAfTIyMjI%2FOAdKh1kZB0qHf7UHRUyMhUdAAAAAwBkAAAEsARMAAkAEwAdAAABIyIGFREhETQmASMiBhURIRE0JgEhETQ2OwEyFhUCvGQpOwEsOwFnZCk7ASw7%2FRv%2B1DspZCk7BEw7KfwYA%2BgpO%2F7UOyn9RAK8KTv84AGQKTs7KQAAAAAF%2F5wAAASwBEwADwATAB8AJQApAAATITIWFREUBiMhIiY1ETQ2FxEhEQUjFTMRITUzNSMRIQURByMRMwcRMxHIArx8sLB8%2FUR8sLAYA4T%2BDMjI%2FtTIyAEsAZBkyMhkZARMsHz%2BDHywsHwB9HywyP1EArzIZP7UZGQBLGT%2B1GQB9GT%2B1AEsAAAABf%2BcAAAEsARMAA8AEwAfACUAKQAAEyEyFhURFAYjISImNRE0NhcRIREBIzUjFSMRMxUzNTMFEQcjETMHETMRyAK8fLCwfP1EfLCwGAOE%2FgxkZGRkZGQBkGTIyGRkBEywfP4MfLCwfAH0fLDI%2FUQCvP2oyMgB9MjIZP7UZAH0ZP7UASwABP%2BcAAAEsARMAA8AEwAbACMAABMhMhYVERQGIyEiJjURNDYXESERBSMRMxUhESEFIxEzFSERIcgCvHywsHz9RHywsBgDhP4MyMj%2B1AEsAZDIyP7UASwETLB8%2Fgx8sLB8AfR8sMj9RAK8yP7UZAH0ZP7UZAH0AAAABP%2BcAAAEsARMAA8AEwAWABkAABMhMhYVERQGIyEiJjURNDYXESERAS0BDQERyAK8fLCwfP1EfLCwGAOE%2Fgz%2B1AEsAZD%2B1ARMsHz%2BDHywsHwB9HywyP1EArz%2BDJaWlpYBLAAAAAX%2FnAAABLAETAAPABMAFwAgACkAABMhMhYVERQGIyEiJjURNDYXESERAyERIQcjIgYVFBY7AQERMzI2NTQmI8gCvHywsHz9RHywsBgDhGT9RAK8ZIImOTYpgv4Mgik2OSYETLB8%2Fgx8sLB8AfR8sMj9RAK8%2FagB9GRWQUFUASz%2B1FRBQVYAAAAF%2F5wAAASwBEwADwATAB8AJQApAAATITIWFREUBiMhIiY1ETQ2FxEhEQUjFTMRITUzNSMRIQEjESM1MwMjNTPIArx8sLB8%2FUR8sLAYA4T%2BDMjI%2FtTIyAEsAZBkZMjIZGQETLB8%2Fgx8sLB8AfR8sMj9RAK8yGT%2B1GRkASz%2BDAGQZP4MZAAG%2F5wAAASwBEwADwATABkAHwAjACcAABMhMhYVERQGIyEiJjURNDYXESERBTMRIREzASMRIzUzBRUzNQEjNTPIArx8sLB8%2FUR8sLAYA4T9RMj%2B1GQCWGRkyP2oZAEsZGQETLB8%2Fgx8sLB8AfR8sMj9RAK8yP5wAfT%2BDAGQZMjIyP7UZAAF%2F5wAAASwBEwADwATABwAIgAmAAATITIWFREUBiMhIiY1ETQ2FxEhEQEHIzU3NSM1IQEjESM1MwMjNTPIArx8sLB8%2FUR8sLAYA4T%2BDMdkx8gBLAGQZGTIx2RkBEywfP4MfLCwfAH0fLDI%2FUQCvP5wyDLIlmT%2BDAGQZP4MZAAAAAMACQAJBKcEpwAPABsAJQAAADIeAhQOAiIuAjQ%2BAQQiDgEUHgEyPgE0JgchFSEVISc1NyEB4PDbnl5entvw255eXp4BxeTCcXHC5MJxcWz%2B1AEs%2FtRkZAEsBKdentvw255eXp7b8NueTHHC5MJxccLkwtDIZGTIZAAAAAAEAAkACQSnBKcADwAbACcAKwAAADIeAhQOAiIuAjQ%2BAQQiDgEUHgEyPgE0JgcVBxcVIycjFSMRIQcVMzUB4PDbnl5entvw255eXp4BxeTCcXHC5MJxcWwyZGRklmQBLMjIBKdentvw255eXp7b8NueTHHC5MJxccLkwtBkMmQyZGQBkGRkZAAAAv%2Fy%2F50EwgRBACAANgAAATIWFzYzMhYUBisBNTQmIyEiBh0BIyImNTQ2NyY1ND4BEzMyFhURMzIWDwEGIi8BJjY7ARE0NgH3brUsLC54qqp4gB0V%2FtQVHd5QcFZBAmKqepYKD4kVCg3fDSYN3w0KFYkPBEF3YQ6t8a36FR0dFfpzT0VrDhMSZKpi%2FbMPCv7tFxD0EBD0EBcBEwoPAAAAAAL%2F8v%2BcBMMEQQAcADMAAAEyFhc2MzIWFxQGBwEmIgcBIyImNTQ2NyY1ND4BExcWBisBERQGKwEiJjURIyImNzY3NjIB9m62LCsueaoBeFr%2Bhg0lDf6DCU9xVkECYqnm3w0KFYkPCpYKD4kVCg3HGBMZBEF3YQ%2BteGOkHAFoEBD%2Bk3NPRWsOExNkqWP9kuQQF%2F7tCg8PCgETFxDMGBMAAAABAGQAAARMBG0AGAAAJTUhATMBMwkBMwEzASEVIyIGHQEhNTQmIwK8AZD%2B8qr%2B8qr%2B1P7Uqv7yqv7yAZAyFR0BkB0VZGQBLAEsAU3%2Bs%2F7U%2FtRkHRUyMhUdAAAAAAEAeQAABDcEmwAvAAABMhYXHgEVFAYHFhUUBiMiJxUyFh0BITU0NjM1BiMiJjU0Ny4BNTQ2MzIXNCY1NDYCWF6TGll7OzIJaUo3LRUd%2FtQdFS03SmkELzlpSgUSAqMEm3FZBoNaPWcfHRpKaR77HRUyMhUd%2Bx5pShIUFVg1SmkCAhAFdKMAAAAGACcAFASJBJwAEQAqAEIASgBiAHsAAAEWEgIHDgEiJicmAhI3PgEyFgUiBw4BBwYWHwEWMzI3Njc2Nz4BLwEmJyYXIgcOAQcGFh8BFjMyNz4BNz4BLwEmJyYWJiIGFBYyNjciBw4BBw4BHwEWFxYzMjc%2BATc2Ji8BJhciBwYHBgcOAR8BFhcWMzI3PgE3NiYvASYD8m9PT29T2dzZU29PT29T2dzZ%2Fj0EBHmxIgQNDCQDBBcGG0dGYAsNAwkDCwccBAVQdRgEDA0iBAQWBhJROQwMAwkDCwf5Y4xjY4xjVhYGElE6CwwDCQMLBwgEBVB1GAQNDCIEjRcGG0dGYAsNAwkDCwcIBAR5sSIEDQwkAwPyb%2F7V%2FtVvU1dXU28BKwErb1NXVxwBIrF5DBYDCQEWYEZHGwMVDCMNBgSRAhh1UA0WAwkBFTpREgMVCyMMBwT6Y2OMY2MVFTpREQQVCyMMBwQCGHVQDRYDCQEkFmBGRxsDFQwjDQYEASKxeQwWAwkBAAAABQBkAAAD6ASwAAwADwAWABwAIgAAASERIzUhFSERNDYzIQEjNQMzByczNTMDISImNREFFRQGKwECvAEstP6s%2FoQPCgI%2FASzIZKLU1KJktP51Cg8DhA8KwwMg%2FoTIyALzCg%2F%2B1Mj84NTUyP4MDwoBi8jDCg8AAAAABQBkAAAD6ASwAAkADAATABoAIQAAASERCQERNDYzIQEjNRMjFSM1IzcDISImPQEpARUUBisBNQK8ASz%2Bov3aDwoCPwEsyD6iZKLUqv6dCg8BfAIIDwqbAyD9%2BAFe%2FdoERwoP%2FtTI%2FHzIyNT%2BZA8KNzcKD1AAAAAAAwAAAAAEsAP0AAgAGQAfAAABIxUzFyERIzcFMzIeAhUhFSEDETM0PgIBMwMhASEEiqJkZP7UotT9EsgbGiEOASz9qMhkDiEaAnPw8PzgASwB9AMgyGQBLNTUBBErJGT%2BogHCJCsRBP5w%2FnAB9AAAAAMAAAAABEwETAAZADIAOQAAATMyFh0BMzIWHQEUBiMhIiY9ATQ2OwE1NDYFNTIWFREUBiMhIic3ARE0NjMVFBYzITI2AQc1IzUzNQKKZBUdMhUdHRX%2B1BUdHRUyHQFzKTs7Kf2oARP2%2Fro7KVg%2BASw%2BWP201MjIBEwdFTIdFWQVHR0VZBUdMhUd%2BpY7KfzgKTsE9gFGAUQpO5Y%2BWFj95tSiZKIAAwBkAAAEvARMABkANgA9AAABMzIWHQEzMhYdARQGIyEiJj0BNDY7ATU0NgU1MhYVESMRMxQOAiMhIiY1ETQ2MxUUFjMhMjYBBzUjNTM1AcJkFR0yFR0dFf7UFR0dFTIdAXMpO8jIDiEaG%2F2oKTs7KVg%2BASw%2BWAGc1MjIBEwdFTIdFWQVHR0VZBUdMhUd%2BpY7Kf4M%2FtQkKxEEOykDICk7lj5YWP3m1KJkogAAAAP%2FogAABRYE1AALABsAHwAACQEWBiMhIiY3ATYyEyMiBhcTHgE7ATI2NxM2JgMVMzUCkgJ9FyAs%2BwQsIBcCfRZARNAUGAQ6BCMUNhQjBDoEGODIBK37sCY3NyYEUCf%2BTB0U%2FtIUHR0UAS4UHf4MZGQAAAAACQAAAAAETARMAA8AHwAvAD8ATwBfAG8AfwCPAAABMzIWHQEUBisBIiY9ATQ2EzMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYBMzIWHQEUBisBIiY9ATQ2ITMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYBMzIWHQEUBisBIiY9ATQ2ITMyFh0BFAYrASImPQE0NiEzMhYdARQGKwEiJj0BNDYBqfoKDw8K%2BgoPDwr6Cg8PCvoKDw8BmvoKDw8K%2BgoPD%2Fzq%2BgoPDwr6Cg8PAZr6Cg8PCvoKDw8BmvoKDw8K%2BgoPD%2Fzq%2BgoPDwr6Cg8PAZr6Cg8PCvoKDw8BmvoKDw8K%2BgoPDwRMDwqWCg8PCpYKD%2F7UDwqWCg8PCpYKDw8KlgoPDwqWCg%2F%2B1A8KlgoPDwqWCg8PCpYKDw8KlgoPDwqWCg8PCpYKD%2F7UDwqWCg8PCpYKDw8KlgoPDwqWCg8PCpYKDw8KlgoPAAAAAwAAAAAEsAUUABkAKQAzAAABMxUjFSEyFg8BBgchJi8BJjYzITUjNTM1MwEhMhYUBisBFyE3IyImNDYDITIWHQEhNTQ2ArxkZAFePjEcQiko%2FPwoKUIcMT4BXmRkyP4%2BArwVHR0VDIn8SooNFR0dswRMFR37UB0EsMhkTzeEUzMzU4Q3T2TIZPx8HSodZGQdKh3%2B1B0VMjIVHQAABAAAAAAEsAUUAAUAGQArADUAAAAyFhUjNAchFhUUByEyFg8BIScmNjMhJjU0AyEyFhQGKwEVBSElNSMiJjQ2AyEyFh0BITU0NgIwUDnCPAE6EgMBSCkHIq%2F9WrIiCikBSAOvArwVHR0VlgET%2FEoBE5YVHR2zBEwVHftQHQUUOykpjSUmCBEhFpGRFiERCCb%2BlR0qHcjIyMgdKh39qB0VMjIVHQAEAAAAAASwBJ0ABwAUACQALgAAADIWFAYiJjQTMzIWFRQXITY1NDYzASEyFhQGKwEXITcjIiY0NgMhMhYdASE1NDYCDZZqapZqty4iKyf%2BvCcrI%2F7NArwVHR0VDYr8SokMFR0dswRMFR37UB0EnWqWamqW%2Fus5Okxra0w6Of5yHSodZGQdKh3%2B1B0VMjIVHQAEAAAAAASwBRQADwAcACwANgAAATIeARUUBiImNTQ3FzcnNhMzMhYVFBchNjU0NjMBITIWFAYrARchNyMiJjQ2AyEyFh0BITU0NgJYL1szb5xvIpBvoyIfLiIrJ%2F68Jysj%2Fs0CvBUdHRUNivxKiQwVHR2zBEwVHftQHQUUa4s2Tm9vTj5Rj2%2BjGv4KOTpMa2tMOjn%2Bch0qHWRkHSod%2FtQdFTIyFR0AAAADAAAAAASwBRIAEgAiACwAAAEFFSEUHgMXIS4BNTQ%2BAjcBITIWFAYrARchNyMiJjQ2AyEyFh0BITU0NgJYASz%2B1CU%2FP00T%2Fe48PUJtj0r%2BogK8FR0dFQ2K%2FEqJDBUdHbMETBUd%2B1AdBLChizlmUT9IGVO9VFShdksE%2FH4dKh1kZB0qHf7UHRUyMhUdAAIAyAAAA%2BgFFAAPACkAAAAyFh0BHgEdASE1NDY3NTQDITIWFyMVMxUjFTMVIxUzFAYjISImNRE0NgIvUjsuNv5wNi5kAZA2XBqsyMjIyMh1U%2F5wU3V1BRQ7KU4aXDYyMjZcGk4p%2Fkc2LmRkZGRkU3V1UwGQU3UAAAMAZP%2F%2FBEwETAAPAC8AMwAAEyEyFhURFAYjISImNRE0NgMhMhYdARQGIyEXFhQGIi8BIQcGIiY0PwEhIiY9ATQ2BQchJ5YDhBUdHRX8fBUdHQQDtgoPDwr%2B5eANGiUNWP30Vw0mGg3g%2Ft8KDw8BqmQBRGQETB0V%2FgwVHR0VAfQVHf1EDwoyCg%2FgDSUbDVhYDRslDeAPCjIKD2RkZAAAAAAEAAAAAASwBEwAGQAjAC0ANwAAEyEyFh0BIzQmKwEiBhUjNCYrASIGFSM1NDYDITIWFREhETQ2ExUUBisBIiY9ASEVFAYrASImPQHIAyBTdWQ7KfopO2Q7KfopO2R1EQPoKTv7UDvxHRVkFR0D6B0VZBUdBEx1U8gpOzspKTs7KchTdf4MOyn%2B1AEsKTv%2BDDIVHR0VMjIVHR0VMgADAAEAAASpBKwADQARABsAAAkBFhQPASEBJjQ3ATYyCQMDITIWHQEhNTQ2AeACqh8fg%2F4f%2FfsgIAEnH1n%2BrAFWAS%2F%2Bq6IDIBUd%2FHwdBI39VR9ZH4MCBh9ZHwEoH%2F5u%2FqoBMAFV%2FBsdFTIyFR0AAAAAAgCPAAAEIQSwABcALwAAAQMuASMhIgYHAwYWMyEVFBYyNj0BMzI2AyE1NDY7ATU0NjsBETMRMzIWHQEzMhYVBCG9CCcV%2FnAVJwi9CBMVAnEdKh19FROo%2Fa0dFTIdFTDILxUdMhUdAocB%2BhMcHBP%2BBhMclhUdHRWWHP2MMhUdMhUdASz%2B1B0VMh0VAAAEAAAAAASwBLAADQAQAB8AIgAAASERFAYjIREBNTQ2MyEBIzUBIREUBiMhIiY1ETQ2MyEBIzUDhAEsDwr%2Bif7UDwoBdwEsyP2oASwPCv12Cg8PCgF3ASzIAyD9wQoPAk8BLFQKD%2F7UyP4M%2FcEKDw8KA7YKD%2F7UyAAC%2F5wAZAUUBEcARgBWAAABMzIeAhcWFxY2NzYnJjc%2BARYXFgcOASsBDgEPAQ4BKwEiJj8BBisBIicHDgErASImPwEmLwEuAT0BNDY7ATY3JyY2OwE2BSMiBh0BFBY7ATI2PQE0JgHkw0uOakkMEhEfQwoKGRMKBQ8XDCkCA1Y9Pgc4HCcDIhVkFRgDDDEqwxgpCwMiFWQVGAMaVCyfExwdFXwLLW8QBxXLdAFF%2BgoPDwr6Cg8PBEdBa4pJDgYKISAiJRsQCAYIDCw9P1c3fCbqFB0dFEYOCEAUHR0UnUplNQcmFTIVHVdPXw4TZV8PCjIKDw8KMgoPAAb%2FnP%2FmBRQEfgAJACQANAA8AFIAYgAAASU2Fh8BFgYPASUzMhYfASEyFh0BFAYHBQYmJyYjISImPQE0NhcjIgYdARQ7ATI2NTQmJyYEIgYUFjI2NAE3PgEeARceAT8BFxYGDwEGJi8BJjYlBwYfAR4BPwE2Jy4BJy4BAoEBpxMuDiAOAxCL%2FCtqQ0geZgM3FR0cE%2F0fFyIJKjr%2B1D5YWLlQExIqhhALIAsSAYBALS1ALf4PmBIgHhMQHC0aPzANITNQL3wpgigJASlmHyElDR0RPRMFAhQHCxADhPcICxAmDyoNeMgiNtQdFTIVJgeEBBQPQ1g%2ByD5YrBwVODMQEAtEERzJLUAtLUD%2B24ITChESEyMgAwWzPUkrRSgJL5cvfRxYGyYrDwkLNRAhFEgJDAQAAAAAAwBkAAAEOQSwAFEAYABvAAABMzIWHQEeARcWDgIPATIeBRUUDgUjFRQGKwEiJj0BIxUUBisBIiY9ASMiJj0BNDY7AREjIiY9ATQ2OwE1NDY7ATIWHQEzNTQ2AxUhMj4CNTc0LgMjARUhMj4CNTc0LgMjAnGWCg9PaAEBIC4uEBEGEjQwOiodFyI2LUAjGg8KlgoPZA8KlgoPrwoPDwpLSwoPDwqvDwqWCg9kD9cBBxwpEwsBAQsTKRz%2B%2BQFrHCkTCwEBCxMpHASwDwptIW1KLk0tHwYGAw8UKDJOLTtdPCoVCwJLCg8PCktLCg8PCksPCpYKDwJYDwqWCg9LCg8PCktLCg%2F%2B1MgVHR0LCgQOIhoW%2FnDIFR0dCwoEDiIaFgAAAwAEAAIEsASuABcAKQAsAAATITIWFREUBg8BDgEjISImJy4CNRE0NgQiDgQPARchNy4FAyMT1AMMVnokEhIdgVL9xFKCHAgYKHoCIIx9VkcrHQYGnAIwnAIIIClJVSGdwwSuelb%2BYDO3QkJXd3ZYHFrFMwGgVnqZFyYtLSUMDPPzBQ8sKDEj%2FsIBBQACAMgAAAOEBRQADwAZAAABMzIWFREUBiMhIiY1ETQ2ARUUBisBIiY9AQHblmesVCn%2BPilUrAFINhWWFTYFFKxn%2FgwpVFQpAfRnrPwY4RU2NhXhAAACAMgAAAOEBRQADwAZAAABMxQWMxEUBiMhIiY1ETQ2ARUUBisBIiY9AQHbYLOWVCn%2BPilUrAFINhWWFTYFFJaz%2FkIpVFQpAfRnrPwY4RU2NhXhAAACAAAAFAUOBBoAFAAaAAAJASUHFRcVJwc1NzU0Jj4CPwEnCQEFJTUFJQUO%2FYL%2Bhk5klpZkAQEBBQQvkwKCAVz%2Bov6iAV4BXgL%2F%2FuWqPOCWx5SVyJb6BA0GCgYDKEEBG%2F1ipqaTpaUAAAMAZAH0BLADIAAHAA8AFwAAEjIWFAYiJjQkMhYUBiImNCQyFhQGIiY0vHxYWHxYAeh8WFh8WAHofFhYfFgDIFh8WFh8WFh8WFh8WFh8WFh8AAAAAAMBkAAAArwETAAHAA8AFwAAADIWFAYiJjQSMhYUBiImNBIyFhQGIiY0Aeh8WFh8WFh8WFh8WFh8WFh8WARMWHxYWHz%2ByFh8WFh8%2FshYfFhYfAAAAAMAZABkBEwETAAPAB8ALwAAEyEyFh0BFAYjISImPQE0NhMhMhYdARQGIyEiJj0BNDYTITIWHQEUBiMhIiY9ATQ2fQO2Cg8PCvxKCg8PCgO2Cg8PCvxKCg8PCgO2Cg8PCvxKCg8PBEwPCpYKDw8KlgoP%2FnAPCpYKDw8KlgoP%2FnAPCpYKDw8KlgoPAAAABAAAAAAEsASwAA8AHwAvADMAAAEhMhYVERQGIyEiJjURNDYFISIGFREUFjMhMjY1ETQmBSEyFhURFAYjISImNRE0NhcVITUBXgH0ory7o%2F4Mpbm5Asv9qCk7OykCWCk7O%2F2xAfQVHR0V%2FgwVHR1HAZAEsLuj%2FgylubmlAfSlucg7Kf2oKTs7KQJYKTtkHRX%2B1BUdHRUBLBUdZMjIAAAAAAEAZABkBLAETAA7AAATITIWFAYrARUzMhYUBisBFTMyFhQGKwEVMzIWFAYjISImNDY7ATUjIiY0NjsBNSMiJjQ2OwE1IyImNDaWA%2BgVHR0VMjIVHR0VMjIVHR0VMjIVHR0V%2FBgVHR0VMjIVHR0VMjIVHR0VMjIVHR0ETB0qHcgdKh3IHSodyB0qHR0qHcgdKh3IHSodyB0qHQAAAAYBLAAFA%2BgEowAHAA0AEwAZAB8AKgAAAR4BBgcuATYBMhYVIiYlFAYjNDYBMhYVIiYlFAYjNDYDFRQGIiY9ARYzMgKKVz8%2FV1c%2FP%2F75fLB8sAK8sHyw%2FcB8sHywArywfLCwHSodKAMRBKNDsrJCQrKy%2FsCwfLB8fLB8sP7UsHywfHywfLD%2B05AVHR0VjgQAAAH%2FtQDIBJQDgQBCAAABNzYXAR4BBw4BKwEyFRQOBCsBIhE0NyYiBxYVECsBIi4DNTQzIyImJyY2NwE2HwEeAQ4BLwEHIScHBi4BNgLpRRkUASoLCAYFGg8IAQQNGyc%2FKZK4ChRUFQu4jjBJJxkHAgcPGQYGCAsBKhQaTBQVCiMUM7YDe7YsFCMKFgNuEwYS%2FtkLHw8OEw0dNkY4MhwBIBgXBAQYF%2F7gKjxTQyMNEw4PHwoBKBIHEwUjKBYGDMHBDAUWKCMAAAAAAgAAAAAEsASwACUAQwAAASM0LgUrAREUFh8BFSE1Mj4DNREjIg4FFSMRIQEjNC4DKwERFBYXMxUjNTI1ESMiDgMVIzUhBLAyCAsZEyYYGcgyGRn%2BcAQOIhoWyBkYJhMZCwgyA%2Bj9RBkIChgQEWQZDQzIMmQREBgKCBkB9AOEFSAVDggDAfyuFhkBAmRkAQUJFQ4DUgEDCA4VIBUBLP0SDxMKBQH%2BVwsNATIyGQGpAQUKEw%2BWAAAAAAMAAAAABEwErgAdACAAMAAAATUiJy4BLwEBIwEGBw4BDwEVITUiJj8BIRcWBiMVARsBARUUBiMhIiY9ATQ2MyEyFgPoGR4OFgUE%2Ft9F%2FtQSFQkfCwsBETE7EkUBJT0NISf%2B7IZ5AbEdFfwYFR0dFQPoFR0BLDIgDiIKCwLr%2FQ4jFQkTBQUyMisusKYiQTIBhwFW%2Fqr942QVHR0VZBUdHQADAAAAAASwBLAADwBHAEoAABMhMhYVERQGIyEiJjURNDYFIyIHAQYHBgcGHQEUFjMhMjY9ATQmIyInJj8BIRcWBwYjIgYdARQWMyEyNj0BNCYnIicmJyMBJhMjEzIETBUdHRX7tBUdHQJGRg0F%2FtUREhImDAsJAREIDAwINxAKCj8BCjkLEQwYCAwMCAE5CAwLCBEZGQ8B%2FuAFDsVnBLAdFfu0FR0dFQRMFR1SDP0PIBMSEAUNMggMDAgyCAwXDhmjmR8YEQwIMggMDAgyBwwBGRskAuwM%2FgUBCAAABAAAAAAEsASwAAMAEwAjACcAAAEhNSEFITIWFREUBiMhIiY1ETQ2KQEyFhURFAYjISImNRE0NhcRIREEsPtQBLD7ggGQFR0dFf5wFR0dAm0BkBUdHRX%2BcBUdHUcBLARMZMgdFfx8FR0dFQOEFR0dFf5wFR0dFQGQFR1k%2FtQBLAAEAAAAAASwBLAADwAfACMAJwAAEyEyFhURFAYjISImNRE0NgEhMhYVERQGIyEiJjURNDYXESEREyE1ITIBkBUdHRX%2BcBUdHQJtAZAVHR0V%2FnAVHR1HASzI%2B1AEsASwHRX8fBUdHRUDhBUd%2FgwdFf5wFR0dFQGQFR1k%2FtQBLP2oZAAAAAACAAAAZASwA%2BgAJwArAAATITIWFREzNTQ2MyEyFh0BMxUjFRQGIyEiJj0BIxEUBiMhIiY1ETQ2AREhETIBkBUdZB0VAZAVHWRkHRX%2BcBUdZB0V%2FnAVHR0CnwEsA%2BgdFf6ilhUdHRWWZJYVHR0Vlv6iFR0dFQMgFR3%2B1P7UASwAAAQAAAAABLAEsAADABMAFwAnAAAzIxEzFyEyFhURFAYjISImNRE0NhcRIREBITIWFREUBiMhIiY1ETQ2ZGRklgGQFR0dFf5wFR0dRwEs%2FqIDhBUdHRX8fBUdHQSwZB0V%2FnAVHR0VAZAVHWT%2B1AEs%2FgwdFf5wFR0dFQGQFR0AAAAAAgBkAAAETASwACcAKwAAATMyFhURFAYrARUhMhYVERQGIyEiJjURNDYzITUjIiY1ETQ2OwE1MwcRIRECWJYVHR0VlgHCFR0dFfx8FR0dFQFelhUdHRWWZMgBLARMHRX%2BcBUdZB0V%2FnAVHR0VAZAVHWQdFQGQFR1kyP7UASwAAAAEAAAAAASwBLAAAwATABcAJwAAISMRMwUhMhYVERQGIyEiJjURNDYXESERASEyFhURFAYjISImNRE0NgSwZGT9dgGQFR0dFf5wFR0dRwEs%2FK4DhBUdHRX8fBUdHQSwZB0V%2FnAVHR0VAZAVHWT%2B1AEs%2FgwdFf5wFR0dFQGQFR0AAAEBLAAwA28EgAAPAAAJAQYjIiY1ETQ2MzIXARYUA2H%2BEhcSDhAQDhIXAe4OAjX%2BEhcbGQPoGRsX%2FhIOKgAAAAABAUEAMgOEBH4ACwAACQE2FhURFAYnASY0AU8B7h0qKh3%2BEg4CewHuHREp%2FBgpER0B7g4qAAAAAAEAMgFBBH4DhAALAAATITIWBwEGIicBJjZkA%2BgpER3%2BEg4qDv4SHREDhCod%2FhIODgHuHSoAAAAAAQAyASwEfgNvAAsAAAkBFgYjISImNwE2MgJ7Ae4dESn8GCkRHQHuDioDYf4SHSoqHQHuDgAAAAACAAgAAASwBCgABgAKAAABFQE1LQE1ASE1IQK8%2FUwBnf5jBKj84AMgAuW2%2Fr3dwcHd%2B9jIAAAAAAIAAABkBLAEsAALADEAAAEjFTMVIREzNSM1IQEzND4FOwERFAYPARUhNSIuAzURMzIeBRUzESEEsMjI%2FtTIyAEs%2B1AyCAsZEyYYGWQyGRkBkAQOIhoWZBkYJhMZCwgy%2FOADhGRkASxkZP4MFSAVDggDAf3aFhkBAmRkAQUJFQ4CJgEDCA4VIBUBLAAAAgAAAAAETAPoACUAMQAAASM0LgUrAREUFh8BFSE1Mj4DNREjIg4FFSMRIQEjFTMVIREzNSM1IQMgMggLGRMmGBlkMhkZ%2FnAEDiIaFmQZGCYTGQsIMgMgASzIyP7UyMgBLAK8FSAVDggDAf3aFhkCAWRkAQUJFQ4CJgEDCA4VIBUBLPzgZGQBLGRkAAABAMgAZgNyBEoAEgAAATMyFgcJARYGKwEiJwEmNDcBNgK9oBAKDP4wAdAMChCgDQr%2BKQcHAdcKBEoWDP4w%2FjAMFgkB1wgUCAHXCQAAAQE%2BAGYD6ARKABIAAAEzMhcBFhQHAQYrASImNwkBJjYBU6ANCgHXBwf%2BKQoNoBAKDAHQ%2FjAMCgRKCf4pCBQI%2FikJFgwB0AHQDBYAAAEAZgDIBEoDcgASAAAAFh0BFAcBBiInASY9ATQ2FwkBBDQWCf4pCBQI%2FikJFgwB0AHQA3cKEKANCv4pBwcB1woNoBAKDP4wAdAAAAABAGYBPgRKA%2BgAEgAACQEWHQEUBicJAQYmPQE0NwE2MgJqAdcJFgz%2BMP4wDBYJAdcIFAPh%2FikKDaAQCgwB0P4wDAoQoA0KAdcHAAAAAgDZ%2F%2FkEPQSwAAUAOgAAARQGIzQ2BTMyFh8BNjc%2BAh4EBgcOBgcGIiYjIgYiJy4DLwEuAT4EHgEXJyY2A%2BiwfLD%2BVmQVJgdPBQsiKFAzRyorDwURAQQSFyozTSwNOkkLDkc3EDlfNyYHBw8GDyUqPjdGMR%2BTDA0EsHywfLDIHBPCAQIGBwcFDx81S21DBxlLR1xKQhEFBQcHGWt0bCQjP2hJNyATBwMGBcASGAAAAAACAMgAFQOEBLAAFgAaAAATITIWFREUBisBEQcGJjURIyImNRE0NhcVITX6AlgVHR0Vlv8TGpYVHR2rASwEsB0V%2FnAVHf4MsgkQFQKKHRUBkBUdZGRkAAAAAgDIABkETASwAA4AEgAAEyEyFhURBRElIREjETQ2ARU3NfoC7ic9%2FUQCWP1EZB8BDWQEsFEs%2FFt1A7Z9%2FBgEARc0%2FV1kFGQAAQAAAAECTW%2FDBF9fDzz1AB8EsAAAAADQdnOXAAAAANB2c5f%2FUf%2BcBdwFFAAAAAgAAgAAAAAAAAABAAAFFP%2BFAA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%3D%29%20format%28%27truetype%27%29%2Curl%28data%3Aimage%2Fsvg%2Bxml%3Bbase64%2CPD94bWwgdmVyc2lvbj0iMS4wIiBzdGFuZGFsb25lPSJubyI%2FPgo8IURPQ1RZUEUgc3ZnIFBVQkxJQyAiLS8vVzNDLy9EVEQgU1ZHIDEuMS8vRU4iICJodHRwOi8vd3d3LnczLm9yZy9HcmFwaGljcy9TVkcvMS4xL0RURC9zdmcxMS5kdGQiID4KPHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPgo8bWV0YWRhdGE%2BPC9tZXRhZGF0YT4KPGRlZnM%2BCjxmb250IGlkPSJnbHlwaGljb25zX2hhbGZsaW5nc3JlZ3VsYXIiIGhvcml6LWFkdi14PSIxMjAwIiA%2BCjxmb250LWZhY2UgdW5pdHMtcGVyLWVtPSIxMjAwIiBhc2NlbnQ9Ijk2MCIgZGVzY2VudD0iLTI0MCIgLz4KPG1pc3NpbmctZ2x5cGggaG9yaXotYWR2LXg9IjUwMCIgLz4KPGdseXBoIGhvcml6LWFkdi14PSIwIiAvPgo8Z2x5cGggaG9yaXotYWR2LXg9IjQwMCIgLz4KPGdseXBoIHVuaWNvZGU9IiAiIC8%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%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDAzOyIgaG9yaXotYWR2LXg9IjEzMDAiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDA0OyIgaG9yaXotYWR2LXg9IjQzMyIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeDIwMDU7IiBob3Jpei1hZHYteD0iMzI1IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAwNjsiIGhvcml6LWFkdi14PSIyMTYiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDA3OyIgaG9yaXotYWR2LXg9IjIxNiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeDIwMDg7IiBob3Jpei1hZHYteD0iMTYyIiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAwOTsiIGhvcml6LWFkdi14PSIyNjAiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3gyMDBhOyIgaG9yaXotYWR2LXg9IjcyIiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4MjAyZjsiIGhvcml6LWFkdi14PSIyNjAiIC8%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3gyNmZhOyIgZD0iTTc3NCAxMTkzLjVxMTYgLTkuNSAyMC41IC0yN3QtNS41IC0zMy41bC0xMzYgLTE4N2w0NjcgLTc0NmgzMHEyMCAwIDM1IC0xOC41dDE1IC0zOS41di00MmgtMTIwMHY0MnEwIDIxIDE1IDM5LjV0MzUgMTguNWgzMGw0NjggNzQ2bC0xMzUgMTgzcS0xMCAxNiAtNS41IDM0dDIwLjUgMjh0MzQgNS41dDI4IC0yMC41bDExMSAtMTQ4bDExMiAxNTBxOSAxNiAyNyAyMC41dDM0IC01ek02MDAgMjAwaDM3N2wtMTgyIDExMmwtMTk1IDUzNHYtNjQ2eiAiIC8%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDI0OyIgZD0iTTEzMDAgMGgtNTM4bC00MSA0MDBoLTI0MmwtNDEgLTQwMGgtNTM4bDQzMSAxMjAwaDIwOWwtMjEgLTMwMGgxNjJsLTIwIDMwMGgyMDh6TTUxNSA4MDBsLTI3IC0zMDBoMjI0bC0yNyAzMDBoLTE3MHoiIC8%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%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDMyOyIgZD0iTTEyNSAxMjAwaDEwNTBxMTAgMCAxNy41IC03LjV0Ny41IC0xNy41di0xMTUwcTAgLTEwIC03LjUgLTE3LjV0LTE3LjUgLTcuNWgtMTA1MHEtMTAgMCAtMTcuNSA3LjV0LTcuNSAxNy41djExNTBxMCAxMCA3LjUgMTcuNXQxNy41IDcuNXpNMTA3NSAxMDAwaC04NTBxLTEwIDAgLTE3LjUgLTcuNXQtNy41IC0xNy41di04NTBxMCAtMTAgNy41IC0xNy41dDE3LjUgLTcuNWg4NTBxMTAgMCAxNy41IDcuNXQ3LjUgMTcuNXY4NTAgcTAgMTAgLTcuNSAxNy41dC0xNy41IDcuNXpNMzI1IDkwMGg1MHExMCAwIDE3LjUgLTcuNXQ3LjUgLTE3LjV2LTUwcTAgLTEwIC03LjUgLTE3LjV0LTE3LjUgLTcuNWgtNTBxLTEwIDAgLTE3LjUgNy41dC03LjUgMTcuNXY1MHEwIDEwIDcuNSAxNy41dDE3LjUgNy41ek01MjUgOTAwaDQ1MHExMCAwIDE3LjUgLTcuNXQ3LjUgLTE3LjV2LTUwcTAgLTEwIC03LjUgLTE3LjV0LTE3LjUgLTcuNWgtNDUwcS0xMCAwIC0xNy41IDcuNXQtNy41IDE3LjV2NTAgcTAgMTAgNy41IDE3LjV0MTcuNSA3LjV6TTMyNSA3MDBoNTBxMTAgMCAxNy41IC03LjV0Ny41IC0xNy41di01MHEwIC0xMCAtNy41IC0xNy41dC0xNy41IC03LjVoLTUwcS0xMCAwIC0xNy41IDcuNXQtNy41IDE3LjV2NTBxMCAxMCA3LjUgMTcuNXQxNy41IDcuNXpNNTI1IDcwMGg0NTBxMTAgMCAxNy41IC03LjV0Ny41IC0xNy41di01MHEwIC0xMCAtNy41IC0xNy41dC0xNy41IC03LjVoLTQ1MHEtMTAgMCAtMTcuNSA3LjV0LTcuNSAxNy41djUwIHEwIDEwIDcuNSAxNy41dDE3LjUgNy41ek0zMjUgNTAwaDUwcTEwIDAgMTcuNSAtNy41dDcuNSAtMTcuNXYtNTBxMCAtMTAgLTcuNSAtMTcuNXQtMTcuNSAtNy41aC01MHEtMTAgMCAtMTcuNSA3LjV0LTcuNSAxNy41djUwcTAgMTAgNy41IDE3LjV0MTcuNSA3LjV6TTUyNSA1MDBoNDUwcTEwIDAgMTcuNSAtNy41dDcuNSAtMTcuNXYtNTBxMCAtMTAgLTcuNSAtMTcuNXQtMTcuNSAtNy41aC00NTBxLTEwIDAgLTE3LjUgNy41dC03LjUgMTcuNXY1MCBxMCAxMCA3LjUgMTcuNXQxNy41IDcuNXpNMzI1IDMwMGg1MHExMCAwIDE3LjUgLTcuNXQ3LjUgLTE3LjV2LTUwcTAgLTEwIC03LjUgLTE3LjV0LTE3LjUgLTcuNWgtNTBxLTEwIDAgLTE3LjUgNy41dC03LjUgMTcuNXY1MHEwIDEwIDcuNSAxNy41dDE3LjUgNy41ek01MjUgMzAwaDQ1MHExMCAwIDE3LjUgLTcuNXQ3LjUgLTE3LjV2LTUwcTAgLTEwIC03LjUgLTE3LjV0LTE3LjUgLTcuNWgtNDUwcS0xMCAwIC0xNy41IDcuNXQtNy41IDE3LjV2NTAgcTAgMTAgNy41IDE3LjV0MTcuNSA3LjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTAzMzsiIGQ9Ik05MDAgODAwdjIwMHEwIDgzIC01OC41IDE0MS41dC0xNDEuNSA1OC41aC0zMDBxLTgyIDAgLTE0MSAtNTl0LTU5IC0xNDF2LTIwMGgtMTAwcS00MSAwIC03MC41IC0yOS41dC0yOS41IC03MC41di02MDBxMCAtNDEgMjkuNSAtNzAuNXQ3MC41IC0yOS41aDkwMHE0MSAwIDcwLjUgMjkuNXQyOS41IDcwLjV2NjAwcTAgNDEgLTI5LjUgNzAuNXQtNzAuNSAyOS41aC0xMDB6TTQwMCA4MDB2MTUwcTAgMjEgMTUgMzUuNXQzNSAxNC41aDIwMCBxMjAgMCAzNSAtMTQuNXQxNSAtMzUuNXYtMTUwaC0zMDB6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTAzNDsiIGQ9Ik0xMjUgMTEwMGg1MHExMCAwIDE3LjUgLTcuNXQ3LjUgLTE3LjV2LTEwNzVoLTEwMHYxMDc1cTAgMTAgNy41IDE3LjV0MTcuNSA3LjV6TTEwNzUgMTA1MnE0IDAgOSAtMnExNiAtNiAxNiAtMjN2LTQyMXEwIC02IC0zIC0xMnEtMzMgLTU5IC02Ni41IC05OXQtNjUuNSAtNTh0LTU2LjUgLTI0LjV0LTUyLjUgLTYuNXEtMjYgMCAtNTcuNSA2LjV0LTUyLjUgMTMuNXQtNjAgMjFxLTQxIDE1IC02MyAyMi41dC01Ny41IDE1dC02NS41IDcuNSBxLTg1IDAgLTE2MCAtNTdxLTcgLTUgLTE1IC01cS02IDAgLTExIDNxLTE0IDcgLTE0IDIydjQzOHEyMiA1NSA4MiA5OC41dDExOSA0Ni41cTIzIDIgNDMgMC41dDQzIC03dDMyLjUgLTguNXQzOCAtMTN0MzIuNSAtMTFxNDEgLTE0IDYzLjUgLTIxdDU3IC0xNHQ2My41IC03cTEwMyAwIDE4MyA4N3E3IDggMTggOHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDM1OyIgZD0iTTYwMCAxMTc1cTExNiAwIDIyNyAtNDkuNXQxOTIuNSAtMTMxdDEzMSAtMTkyLjV0NDkuNSAtMjI3di0zMDBxMCAtMTAgLTcuNSAtMTcuNXQtMTcuNSAtNy41aC01MHEtMTAgMCAtMTcuNSA3LjV0LTcuNSAxNy41djMwMHEwIDEyNyAtNzAuNSAyMzEuNXQtMTg0LjUgMTYxLjV0LTI0NSA1N3QtMjQ1IC01N3QtMTg0LjUgLTE2MS41dC03MC41IC0yMzEuNXYtMzAwcTAgLTEwIC03LjUgLTE3LjV0LTE3LjUgLTcuNWgtNTAgcS0xMCAwIC0xNy41IDcuNXQtNy41IDE3LjV2MzAwcTAgMTE2IDQ5LjUgMjI3dDEzMSAxOTIuNXQxOTIuNSAxMzF0MjI3IDQ5LjV6TTIyMCA1MDBoMTYwcTggMCAxNCAtNnQ2IC0xNHYtNDYwcTAgLTggLTYgLTE0dC0xNCAtNmgtMTYwcS04IDAgLTE0IDZ0LTYgMTR2NDYwcTAgOCA2IDE0dDE0IDZ6TTgyMCA1MDBoMTYwcTggMCAxNCAtNnQ2IC0xNHYtNDYwcTAgLTggLTYgLTE0dC0xNCAtNmgtMTYwcS04IDAgLTE0IDZ0LTYgMTR2NDYwIHEwIDggNiAxNHQxNCA2eiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwMzY7IiBkPSJNMzIxIDgxNGwyNTggMTcycTkgNiAxNSAyLjV0NiAtMTMuNXYtNzUwcTAgLTEwIC02IC0xMy41dC0xNSAyLjVsLTI1OCAxNzJxLTIxIDE0IC00NiAxNGgtMjUwcS0xMCAwIC0xNy41IDcuNXQtNy41IDE3LjV2MzUwcTAgMTAgNy41IDE3LjV0MTcuNSA3LjVoMjUwcTI1IDAgNDYgMTR6TTkwMCA2NjhsMTIwIDEyMHE3IDcgMTcgN3QxNyAtN2wzNCAtMzRxNyAtNyA3IC0xN3QtNyAtMTdsLTEyMCAtMTIwbDEyMCAtMTIwcTcgLTcgNyAtMTcgdC03IC0xN2wtMzQgLTM0cS03IC03IC0xNyAtN3QtMTcgN2wtMTIwIDExOWwtMTIwIC0xMTlxLTcgLTcgLTE3IC03dC0xNyA3bC0zNCAzNHEtNyA3IC03IDE3dDcgMTdsMTE5IDEyMGwtMTE5IDEyMHEtNyA3IC03IDE3dDcgMTdsMzQgMzRxNyA4IDE3IDh0MTcgLTh6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTAzNzsiIGQ9Ik0zMjEgODE0bDI1OCAxNzJxOSA2IDE1IDIuNXQ2IC0xMy41di03NTBxMCAtMTAgLTYgLTEzLjV0LTE1IDIuNWwtMjU4IDE3MnEtMjEgMTQgLTQ2IDE0aC0yNTBxLTEwIDAgLTE3LjUgNy41dC03LjUgMTcuNXYzNTBxMCAxMCA3LjUgMTcuNXQxNy41IDcuNWgyNTBxMjUgMCA0NiAxNHpNNzY2IDkwMGg0cTEwIC0xIDE2IC0xMHE5NiAtMTI5IDk2IC0yOTBxMCAtMTU0IC05MCAtMjgxcS02IC05IC0xNyAtMTBsLTMgLTFxLTkgMCAtMTYgNiBsLTI5IDIzcS03IDcgLTguNSAxNi41dDQuNSAxNy41cTcyIDEwMyA3MiAyMjlxMCAxMzIgLTc4IDIzOHEtNiA4IC00LjUgMTh0OS41IDE3bDI5IDIycTcgNSAxNSA1eiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwMzg7IiBkPSJNOTY3IDEwMDRoM3ExMSAtMSAxNyAtMTBxMTM1IC0xNzkgMTM1IC0zOTZxMCAtMTA1IC0zNCAtMjA2LjV0LTk4IC0xODUuNXEtNyAtOSAtMTcgLTEwaC0zcS05IDAgLTE2IDZsLTQyIDM0cS04IDYgLTkgMTZ0NSAxOHExMTEgMTUwIDExMSAzMjhxMCA5MCAtMjkuNSAxNzZ0LTg0LjUgMTU3cS02IDkgLTUgMTl0MTAgMTZsNDIgMzNxNyA1IDE1IDV6TTMyMSA4MTRsMjU4IDE3MnE5IDYgMTUgMi41dDYgLTEzLjV2LTc1MHEwIC0xMCAtNiAtMTMuNSB0LTE1IDIuNWwtMjU4IDE3MnEtMjEgMTQgLTQ2IDE0aC0yNTBxLTEwIDAgLTE3LjUgNy41dC03LjUgMTcuNXYzNTBxMCAxMCA3LjUgMTcuNXQxNy41IDcuNWgyNTBxMjUgMCA0NiAxNHpNNzY2IDkwMGg0cTEwIC0xIDE2IC0xMHE5NiAtMTI5IDk2IC0yOTBxMCAtMTU0IC05MCAtMjgxcS02IC05IC0xNyAtMTBsLTMgLTFxLTkgMCAtMTYgNmwtMjkgMjNxLTcgNyAtOC41IDE2LjV0NC41IDE3LjVxNzIgMTAzIDcyIDIyOXEwIDEzMiAtNzggMjM4IHEtNiA4IC00LjUgMTguNXQ5LjUgMTYuNWwyOSAyMnE3IDUgMTUgNXoiIC8%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDQyOyIgZD0iTTUwMCAxMjAwbDY4MiAtNjgycTggLTggOCAtMTh0LTggLTE4bC00NjQgLTQ2NHEtOCAtOCAtMTggLTh0LTE4IDhsLTY4MiA2ODJsMSA0NzVxMCAxMCA3LjUgMTcuNXQxNy41IDcuNWg0NzR6TTgwMCAxMjAwbDY4MiAtNjgycTggLTggOCAtMTh0LTggLTE4bC00NjQgLTQ2NHEtOCAtOCAtMTggLTh0LTE4IDhsLTU2IDU2bDQyNCA0MjZsLTcwMCA3MDBoMTUwek0zMTkuNSAxMDI0LjVxLTI5LjUgMjkuNSAtNzEgMjkuNXQtNzEgLTI5LjUgdC0yOS41IC03MS41dDI5LjUgLTcxLjV0NzEgLTI5LjV0NzEgMjkuNXQyOS41IDcxLjV0LTI5LjUgNzEuNXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDQzOyIgZD0iTTMwMCAxMjAwaDgyNXE3NSAwIDc1IC03NXYtOTAwcTAgLTI1IC0xOCAtNDNsLTY0IC02NHEtOCAtOCAtMTMgLTUuNXQtNSAxMi41djk1MHEwIDEwIC03LjUgMTcuNXQtMTcuNSA3LjVoLTcwMHEtMjUgMCAtNDMgLTE4bC02NCAtNjRxLTggLTggLTUuNSAtMTN0MTIuNSAtNWg3MDBxMTAgMCAxNy41IC03LjV0Ny41IC0xNy41di05NTBxMCAtMTAgLTcuNSAtMTcuNXQtMTcuNSAtNy41aC04NTBxLTEwIDAgLTE3LjUgNy41dC03LjUgMTcuNXY5NzUgcTAgMjUgMTggNDNsMTM5IDEzOXExOCAxOCA0MyAxOHoiIC8%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDQ5OyIgZD0iTTg3NyAxMjAwbDIgLTU3cS04MyAtMTkgLTExNiAtNDUuNXQtNDAgLTY2LjVsLTEzMiAtODM5cS05IC00OSAxMyAtNjl0OTYgLTI2di05N2gtNTAwdjk3cTE4NiAxNiAyMDAgOThsMTczIDgzMnEzIDE3IDMgMzB0LTEuNSAyMi41dC05IDE3LjV0LTEzLjUgMTIuNXQtMjEuNSAxMHQtMjYgOC41dC0zMy41IDEwcS0xMyAzIC0xOSA1djU3aDQyNXoiIC8%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%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDY5OyIgZD0iTTI1MCAxMTAwaDEwMHEyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXYtNDM4bDQ2NCA0NTNxMTUgMTQgMjUuNSAxMHQxMC41IC0yNXYtMTAwMHEwIC0yMSAtMTAuNSAtMjV0LTI1LjUgMTBsLTQ2NCA0NTN2LTQzOHEwIC0yMSAtMTQuNSAtMzUuNXQtMzUuNSAtMTQuNWgtMTAwcS0yMSAwIC0zNS41IDE0LjV0LTE0LjUgMzUuNXYxMDAwcTAgMjEgMTQuNSAzNS41dDM1LjUgMTQuNXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDcwOyIgZD0iTTUwIDExMDBoMTAwcTIxIDAgMzUuNSAtMTQuNXQxNC41IC0zNS41di00MzhsNDY0IDQ1M3ExNSAxNCAyNS41IDEwdDEwLjUgLTI1di00MzhsNDY0IDQ1M3ExNSAxNCAyNS41IDEwdDEwLjUgLTI1di0xMDAwcTAgLTIxIC0xMC41IC0yNXQtMjUuNSAxMGwtNDY0IDQ1M3YtNDM4cTAgLTIxIC0xMC41IC0yNXQtMjUuNSAxMGwtNDY0IDQ1M3YtNDM4cTAgLTIxIC0xNC41IC0zNS41dC0zNS41IC0xNC41aC0xMDBxLTIxIDAgLTM1LjUgMTQuNSB0LTE0LjUgMzUuNXYxMDAwcTAgMjEgMTQuNSAzNS41dDM1LjUgMTQuNXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDcxOyIgZD0iTTEyMDAgMTA1MHYtMTAwMHEwIC0yMSAtMTAuNSAtMjV0LTI1LjUgMTBsLTQ2NCA0NTN2LTQzOHEwIC0yMSAtMTAuNSAtMjV0LTI1LjUgMTBsLTQ5MiA0ODBxLTE1IDE0IC0xNSAzNXQxNSAzNWw0OTIgNDgwcTE1IDE0IDI1LjUgMTB0MTAuNSAtMjV2LTQzOGw0NjQgNDUzcTE1IDE0IDI1LjUgMTB0MTAuNSAtMjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTA3MjsiIGQ9Ik0yNDMgMTA3NGw4MTQgLTQ5OHExOCAtMTEgMTggLTI2dC0xOCAtMjZsLTgxNCAtNDk4cS0xOCAtMTEgLTMwLjUgLTR0LTEyLjUgMjh2MTAwMHEwIDIxIDEyLjUgMjh0MzAuNSAtNHoiIC8%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDc5OyIgZD0iTTg4NSA5MDBsLTM1MiAtMzUzbDM1MiAtMzUzbC0xOTcgLTE5OGwtNTUyIDU1Mmw1NTIgNTUweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUwODA7IiBkPSJNMTA2NCA1NDdsLTU1MSAtNTUxbC0xOTggMTk4bDM1MyAzNTNsLTM1MyAzNTNsMTk4IDE5OHoiIC8%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%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%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%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMDk2OyIgZD0iTTg1MCAxMjAwaDMwMHEyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXYtMzAwcTAgLTIxIC0xMC41IC0yNXQtMjQuNSAxMGwtOTQgOTRsLTI0OSAtMjQ5cS04IC03IC0xOCAtN3QtMTggN2wtMTA2IDEwNnEtNyA4IC03IDE4dDcgMThsMjQ5IDI0OWwtOTQgOTRxLTE0IDE0IC0xMCAyNC41dDI1IDEwLjV6TTM1MCAwaC0zMDBxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41djMwMHEwIDIxIDEwLjUgMjV0MjQuNSAtMTBsOTQgLTk0bDI0OSAyNDkgcTggNyAxOCA3dDE4IC03bDEwNiAtMTA2cTcgLTggNyAtMTh0LTcgLTE4bC0yNDkgLTI0OWw5NCAtOTRxMTQgLTE0IDEwIC0yNC41dC0yNSAtMTAuNXoiIC8%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%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTE1OyIgZD0iTTQwNCAxMDAwaDc0NnEyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXYtNTUxaDE1MHEyMSAwIDI1IC0xMC41dC0xMCAtMjQuNWwtMjMwIC0yNDlxLTE0IC0xNSAtMzUgLTE1dC0zNSAxNWwtMjMwIDI0OXEtMTQgMTQgLTEwIDI0LjV0MjUgMTAuNWgxNTB2NDAxaC0zODF6TTEzNSA5ODRsMjMwIC0yNDlxMTQgLTE0IDEwIC0yNC41dC0yNSAtMTAuNWgtMTUwdi00MDBoMzg1bDIxNSAtMjAwaC03NTBxLTIxIDAgLTM1LjUgMTQuNSB0LTE0LjUgMzUuNXY1NTBoLTE1MHEtMjEgMCAtMjUgMTAuNXQxMCAyNC41bDIzMCAyNDlxMTQgMTUgMzUgMTV0MzUgLTE1eiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUxMTY7IiBkPSJNNTYgMTIwMGg5NHExNyAwIDMxIC0xMXQxOCAtMjdsMzggLTE2Mmg4OTZxMjQgMCAzOSAtMTguNXQxMCAtNDIuNWwtMTAwIC00NzVxLTUgLTIxIC0yNyAtNDIuNXQtNTUgLTIxLjVoLTYzM2w0OCAtMjAwaDUzNXEyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXQtMTQuNSAtMzUuNXQtMzUuNSAtMTQuNWgtNTB2LTUwcTAgLTIxIC0xNC41IC0zNS41dC0zNS41IC0xNC41dC0zNS41IDE0LjV0LTE0LjUgMzUuNXY1MGgtMzAwdi01MCBxMCAtMjEgLTE0LjUgLTM1LjV0LTM1LjUgLTE0LjV0LTM1LjUgMTQuNXQtMTQuNSAzNS41djUwaC0zMXEtMTggMCAtMzIuNSAxMHQtMjAuNSAxOWwtNSAxMGwtMjAxIDk2MWgtNTRxLTIwIDAgLTM1IDE0LjV0LTE1IDM1LjV0MTUgMzUuNXQzNSAxNC41eiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUxMTc7IiBkPSJNMTIwMCAxMDAwdi0xMDBoLTEyMDB2MTAwaDIwMHEwIDQxIDI5LjUgNzAuNXQ3MC41IDI5LjVoMzAwcTQxIDAgNzAuNSAtMjkuNXQyOS41IC03MC41aDUwMHpNMCA4MDBoMTIwMHYtODAwaC0xMjAwdjgwMHoiIC8%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%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTM0OyIgZD0iTTYwMCAxMTc4cTExOCAwIDIyNSAtNDUuNXQxODQuNSAtMTIzdDEyMyAtMTg0LjV0NDUuNSAtMjI1dC00NS41IC0yMjV0LTEyMyAtMTg0LjV0LTE4NC41IC0xMjN0LTIyNSAtNDUuNXQtMjI1IDQ1LjV0LTE4NC41IDEyM3QtMTIzIDE4NC41dC00NS41IDIyNXQ0NS41IDIyNXQxMjMgMTg0LjV0MTg0LjUgMTIzdDIyNSA0NS41ek02NzUgOTAwaC0xNTBxLTEwIDAgLTE3LjUgLTcuNXQtNy41IC0xNy41di0yNzVoLTEzN3EtMjEgMCAtMjYgLTExLjUgdDggLTI3LjVsMjIzIC0yNzVxMTMgLTE2IDMyIC0xNnQzMiAxNmwyMjMgMjc1cTEzIDE2IDggMjcuNXQtMjYgMTEuNWgtMTM3djI3NXEwIDEwIC03LjUgMTcuNXQtMTcuNSA3LjV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTEzNTsiIGQ9Ik02MDAgMTE3NnExMTYgMCAyMjIuNSAtNDZ0MTg0IC0xMjMuNXQxMjMuNSAtMTg0dDQ2IC0yMjIuNXQtNDYgLTIyMi41dC0xMjMuNSAtMTg0dC0xODQgLTEyMy41dC0yMjIuNSAtNDZ0LTIyMi41IDQ2dC0xODQgMTIzLjV0LTEyMy41IDE4NHQtNDYgMjIyLjV0NDYgMjIyLjV0MTIzLjUgMTg0dDE4NCAxMjMuNXQyMjIuNSA0NnpNNjI3IDExMDFxLTE1IC0xMiAtMzYuNSAtMjAuNXQtMzUuNSAtMTJ0LTQzIC04dC0zOSAtNi41IHEtMTUgLTMgLTQ1LjUgMHQtNDUuNSAtMnEtMjAgLTcgLTUxLjUgLTI2LjV0LTM0LjUgLTM0LjVxLTMgLTExIDYuNSAtMjIuNXQ4LjUgLTE4LjVxLTMgLTM0IC0yNy41IC05MXQtMjkuNSAtNzlxLTkgLTM0IDUgLTkzdDggLTg3cTAgLTkgMTcgLTQ0LjV0MTYgLTU5LjVxMTIgMCAyMyAtNXQyMy41IC0xNXQxOS41IC0xNHExNiAtOCAzMyAtMTV0NDAuNSAtMTV0MzQuNSAtMTJxMjEgLTkgNTIuNSAtMzJ0NjAgLTM4dDU3LjUgLTExIHE3IC0xNSAtMyAtMzR0LTIyLjUgLTQwdC05LjUgLTM4cTEzIC0yMSAyMyAtMzQuNXQyNy41IC0yNy41dDM2LjUgLTE4cTAgLTcgLTMuNSAtMTZ0LTMuNSAtMTR0NSAtMTdxMTA0IC0yIDIyMSAxMTJxMzAgMjkgNDYuNSA0N3QzNC41IDQ5dDIxIDYzcS0xMyA4IC0zNyA4LjV0LTM2IDcuNXEtMTUgNyAtNDkuNSAxNXQtNTEuNSAxOXEtMTggMCAtNDEgLTAuNXQtNDMgLTEuNXQtNDIgLTYuNXQtMzggLTE2LjVxLTUxIC0zNSAtNjYgLTEyIHEtNCAxIC0zLjUgMjUuNXQwLjUgMjUuNXEtNiAxMyAtMjYuNSAxNy41dC0yNC41IDYuNXExIDE1IC0wLjUgMzAuNXQtNyAyOHQtMTguNSAxMS41dC0zMSAtMjFxLTIzIC0yNSAtNDIgNHEtMTkgMjggLTggNThxNiAxNiAyMiAyMnE2IC0xIDI2IC0xLjV0MzMuNSAtNHQxOS41IC0xMy41cTcgLTEyIDE4IC0yNHQyMS41IC0yMC41dDIwIC0xNXQxNS41IC0xMC41bDUgLTNxMiAxMiA3LjUgMzAuNXQ4IDM0LjV0LTAuNSAzMnEtMyAxOCAzLjUgMjkgdDE4IDIyLjV0MTUuNSAyNC41cTYgMTQgMTAuNSAzNXQ4IDMxdDE1LjUgMjIuNXQzNCAyMi41cS02IDE4IDEwIDM2cTggMCAyNCAtMS41dDI0LjUgLTEuNXQyMCA0LjV0MjAuNSAxNS41cS0xMCAyMyAtMzEgNDIuNXQtMzcuNSAyOS41dC00OSAyN3QtNDMuNSAyM3EwIDEgMiA4dDMgMTEuNXQxLjUgMTAuNXQtMSA5LjV0LTQuNSA0LjVxMzEgLTEzIDU4LjUgLTE0LjV0MzguNSAyLjVsMTIgNXE1IDI4IC05LjUgNDZ0LTM2LjUgMjR0LTUwIDE1IHQtNDEgMjBxLTE4IC00IC0zNyAwek02MTMgOTk0cTAgLTE3IDggLTQydDE3IC00NXQ5IC0yM3EtOCAxIC0zOS41IDUuNXQtNTIuNSAxMHQtMzcgMTYuNXEzIDExIDE2IDI5LjV0MTYgMjUuNXExMCAtMTAgMTkgLTEwdDE0IDZ0MTMuNSAxNC41dDE2LjUgMTIuNXoiIC8%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%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%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTYwOyIgZD0iTTM1MCAxMTAwaDQwMHExNjUgMCAyNTcuNSAtOTIuNXQ5Mi41IC0yNTcuNXYtNDAwcTAgLTE2MyAtOTIuNSAtMjU2LjV0LTI1Ny41IC05My41aC00MDBxLTE2MyAwIC0yNTYuNSA5NHQtOTMuNSAyNTZ2NDAwcTAgMTY1IDkyLjUgMjU3LjV0MjU3LjUgOTIuNXpNODAwIDkwMGgtNTAwcS00MSAwIC03MC41IC0yOS41dC0yOS41IC03MC41di01MDBxMCAtNDEgMjkuNSAtNzAuNXQ3MC41IC0yOS41aDUwMHE0MSAwIDcwLjUgMjkuNXQyOS41IDcwLjUgdjUwMHEwIDQxIC0yOS41IDcwLjV0LTcwLjUgMjkuNXpNNTgwIDY5M2wxOTAgLTI1M3ExMiAtMTYgNi41IC0yOHQtMjYuNSAtMTJoLTQwMHEtMjEgMCAtMjYuNSAxMnQ2LjUgMjhsMTkwIDI1M3ExMiAxNyAzMCAxN3QzMCAtMTd6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTE2MTsiIGQ9Ik01NTAgMTEwMGg0MDBxMTY1IDAgMjU3LjUgLTkyLjV0OTIuNSAtMjU3LjV2LTQwMHEwIC0xNjUgLTkyLjUgLTI1Ny41dC0yNTcuNSAtOTIuNWgtNDAwcS0yMSAwIC0zNS41IDE0LjV0LTE0LjUgMzUuNXYxMDBxMCAyMSAxNC41IDM1LjV0MzUuNSAxNC41aDQ1MHE0MSAwIDcwLjUgMjkuNXQyOS41IDcwLjV2NTAwcTAgNDEgLTI5LjUgNzAuNXQtNzAuNSAyOS41aC00NTBxLTIxIDAgLTM1LjUgMTQuNXQtMTQuNSAzNS41djEwMCBxMCAyMSAxNC41IDM1LjV0MzUuNSAxNC41ek0zMzggODY3bDMyNCAtMjg0cTE2IC0xNCAxNiAtMzN0LTE2IC0zM2wtMzI0IC0yODRxLTE2IC0xNCAtMjcgLTl0LTExIDI2djE1MGgtMjUwcS0yMSAwIC0zNS41IDE0LjV0LTE0LjUgMzUuNXYyMDBxMCAyMSAxNC41IDM1LjV0MzUuNSAxNC41aDI1MHYxNTBxMCAyMSAxMSAyNnQyNyAtOXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMTYyOyIgZD0iTTc5MyAxMTgybDkgLTlxOCAtMTAgNSAtMjdxLTMgLTExIC03OSAtMjI1LjV0LTc4IC0yMjEuNWwzMDAgMXEyNCAwIDMyLjUgLTE3LjV0LTUuNSAtMzUuNXEtMSAwIC0xMzMuNSAtMTU1dC0yNjcgLTMxMi41dC0xMzguNSAtMTYyLjVxLTEyIC0xNSAtMjYgLTE1aC05bC05IDhxLTkgMTEgLTQgMzJxMiA5IDQyIDEyMy41dDc5IDIyNC41bDM5IDExMGgtMzAycS0yMyAwIC0zMSAxOXEtMTAgMjEgNiA0MXE3NSA4NiAyMDkuNSAyMzcuNSB0MjI4IDI1N3Q5OC41IDExMS41cTkgMTYgMjUgMTZoOXoiIC8%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%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%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%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%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%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%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%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%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%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMjIxOyIgZD0iTTQ4MCAxMTY1bDY4MiAtNjgzcTMxIC0zMSAzMSAtNzUuNXQtMzEgLTc1LjVsLTEzMSAtMTMxaC00ODFsLTUxNyA1MThxLTMyIDMxIC0zMiA3NS41dDMyIDc1LjVsMjk1IDI5NnEzMSAzMSA3NS41IDMxdDc2LjUgLTMxek0xMDggNzk0bDM0MiAtMzQybDMwMyAzMDRsLTM0MSAzNDF6TTI1MCAxMDBoODAwcTIxIDAgMzUuNSAtMTQuNXQxNC41IC0zNS41di01MGgtOTAwdjUwcTAgMjEgMTQuNSAzNS41dDM1LjUgMTQuNXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMjIzOyIgZD0iTTEwNTcgNjQ3bC0xODkgNTA2cS04IDE5IC0yNy41IDMzdC00MC41IDE0aC00MDBxLTIxIDAgLTQwLjUgLTE0dC0yNy41IC0zM2wtMTg5IC01MDZxLTggLTE5IDEuNSAtMzN0MzAuNSAtMTRoNjI1di0xNTBxMCAtMjEgMTQuNSAtMzUuNXQzNS41IC0xNC41dDM1LjUgMTQuNXQxNC41IDM1LjV2MTUwaDEyNXEyMSAwIDMwLjUgMTR0MS41IDMzek04OTcgMGgtNTk1djUwcTAgMjEgMTQuNSAzNS41dDM1LjUgMTQuNWg1MHY1MCBxMCAyMSAxNC41IDM1LjV0MzUuNSAxNC41aDQ4djMwMGgyMDB2LTMwMGg0N3EyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXYtNTBoNTBxMjEgMCAzNS41IC0xNC41dDE0LjUgLTM1LjV2LTUweiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUyMjQ7IiBkPSJNOTAwIDgwMGgzMDB2LTU3NXEwIC0xMCAtNy41IC0xNy41dC0xNy41IC03LjVoLTM3NXY1OTFsLTMwMCAzMDB2ODRxMCAxMCA3LjUgMTcuNXQxNy41IDcuNWgzNzV2LTQwMHpNMTIwMCA5MDBoLTIwMHYyMDB6TTQwMCA2MDBoMzAwdi01NzVxMCAtMTAgLTcuNSAtMTcuNXQtMTcuNSAtNy41aC02NTBxLTEwIDAgLTE3LjUgNy41dC03LjUgMTcuNXY5NTBxMCAxMCA3LjUgMTcuNXQxNy41IDcuNWgzNzV2LTQwMHpNNzAwIDcwMGgtMjAwdjIwMHogIiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTIyNTsiIGQ9Ik00ODQgMTA5NWgxOTVxNzUgMCAxNDYgLTMyLjV0MTI0IC04NnQ4OS41IC0xMjIuNXQ0OC41IC0xNDJxMTggLTE0IDM1IC0yMHEzMSAtMTAgNjQuNSA2LjV0NDMuNSA0OC41cTEwIDM0IC0xNSA3MXEtMTkgMjcgLTkgNDNxNSA4IDEyLjUgMTF0MTkgLTF0MjMuNSAtMTZxNDEgLTQ0IDM5IC0xMDVxLTMgLTYzIC00NiAtMTA2LjV0LTEwNCAtNDMuNWgtNjJxLTcgLTU1IC0zNSAtMTE3dC01NiAtMTAwbC0zOSAtMjM0cS0zIC0yMCAtMjAgLTM0LjUgdC0zOCAtMTQuNWgtMTAwcS0yMSAwIC0zMyAxNC41dC05IDM0LjVsMTIgNzBxLTQ5IC0xNCAtOTEgLTE0aC0xOTVxLTI0IDAgLTY1IDhsLTExIC02NHEtMyAtMjAgLTIwIC0zNC41dC0zOCAtMTQuNWgtMTAwcS0yMSAwIC0zMyAxNC41dC05IDM0LjVsMjYgMTU3cS04NCA3NCAtMTI4IDE3NWwtMTU5IDUzcS0xOSA3IC0zMyAyNnQtMTQgNDB2NTBxMCAyMSAxNC41IDM1LjV0MzUuNSAxNC41aDEyNHExMSA4NyA1NiAxNjZsLTExMSA5NSBxLTE2IDE0IC0xMi41IDIzLjV0MjQuNSA5LjVoMjAzcTExNiAxMDEgMjUwIDEwMXpNNjc1IDEwMDBoLTI1MHEtMTAgMCAtMTcuNSAtNy41dC03LjUgLTE3LjV2LTUwcTAgLTEwIDcuNSAtMTcuNXQxNy41IC03LjVoMjUwcTEwIDAgMTcuNSA3LjV0Ny41IDE3LjV2NTBxMCAxMCAtNy41IDE3LjV0LTE3LjUgNy41eiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUyMjY7IiBkPSJNNjQxIDkwMGw0MjMgMjQ3cTE5IDggNDIgMi41dDM3IC0yMS41bDMyIC0zOHExNCAtMTUgMTIuNSAtMzZ0LTE3LjUgLTM0bC0xMzkgLTEyMGgtMzkwek01MCAxMTAwaDEwNnE2NyAwIDEwMyAtMTd0NjYgLTcxbDEwMiAtMjEyaDgyM3EyMSAwIDM1LjUgLTE0LjV0MTQuNSAtMzUuNXYtNTBxMCAtMjEgLTE0IC00MHQtMzMgLTI2bC03MzcgLTEzMnEtMjMgLTQgLTQwIDZ0LTI2IDI1cS00MiA2NyAtMTAwIDY3aC0zMDBxLTYyIDAgLTEwNiA0NCB0LTQ0IDEwNnYyMDBxMCA2MiA0NCAxMDZ0MTA2IDQ0ek0xNzMgOTI4aC04MHEtMTkgMCAtMjggLTE0dC05IC0zNXYtNTZxMCAtNTEgNDIgLTUxaDEzNHExNiAwIDIxLjUgOHQ1LjUgMjRxMCAxMSAtMTYgNDV0LTI3IDUxcS0xOCAyOCAtNDMgMjh6TTU1MCA3MjdxLTMyIDAgLTU0LjUgLTIyLjV0LTIyLjUgLTU0LjV0MjIuNSAtNTQuNXQ1NC41IC0yMi41dDU0LjUgMjIuNXQyMi41IDU0LjV0LTIyLjUgNTQuNXQtNTQuNSAyMi41ek0xMzAgMzg5IGwxNTIgMTMwcTE4IDE5IDM0IDI0dDMxIC0zLjV0MjQuNSAtMTcuNXQyNS41IC0yOHEyOCAtMzUgNTAuNSAtNTF0NDguNSAtMTNsNjMgNWw0OCAtMTc5cTEzIC02MSAtMy41IC05Ny41dC02Ny41IC03OS41bC04MCAtNjlxLTQ3IC00MCAtMTA5IC0zNS41dC0xMDMgNTEuNWwtMTMwIDE1MXEtNDAgNDcgLTM1LjUgMTA5LjV0NTEuNSAxMDIuNXpNMzgwIDM3N2wtMTAyIC04OHEtMzEgLTI3IDIgLTY1bDM3IC00M3ExMyAtMTUgMjcuNSAtMTkuNSB0MzEuNSA2LjVsNjEgNTNxMTkgMTYgMTQgNDlxLTIgMjAgLTEyIDU2dC0xNyA0NXEtMTEgMTIgLTE5IDE0dC0yMyAtOHoiIC8%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%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%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%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%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%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%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%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMjUwOyIgZD0iTTg2NSA1NjVsLTQ5NCAtNDk0cS0yMyAtMjMgLTQxIC0yM3EtMTQgMCAtMjIgMTMuNXQtOCAzOC41djEwMDBxMCAyNSA4IDM4LjV0MjIgMTMuNXExOCAwIDQxIC0yM2w0OTQgLTQ5NHExNCAtMTQgMTQgLTM1dC0xNCAtMzV6IiAvPgo8Z2x5cGggdW5pY29kZT0iJiN4ZTI1MTsiIGQ9Ik0zMzUgNjM1bDQ5NCA0OTRxMjkgMjkgNTAgMjAuNXQyMSAtNDkuNXYtMTAwMHEwIC00MSAtMjEgLTQ5LjV0LTUwIDIwLjVsLTQ5NCA0OTRxLTE0IDE0IC0xNCAzNXQxNCAzNXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMjUyOyIgZD0iTTEwMCA5MDBoMTAwMHE0MSAwIDQ5LjUgLTIxdC0yMC41IC01MGwtNDk0IC00OTRxLTE0IC0xNCAtMzUgLTE0dC0zNSAxNGwtNDk0IDQ5NHEtMjkgMjkgLTIwLjUgNTB0NDkuNSAyMXoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMjUzOyIgZD0iTTYzNSA4NjVsNDk0IC00OTRxMjkgLTI5IDIwLjUgLTUwdC00OS41IC0yMWgtMTAwMHEtNDEgMCAtNDkuNSAyMXQyMC41IDUwbDQ5NCA0OTRxMTQgMTQgMzUgMTR0MzUgLTE0eiIgLz4KPGdseXBoIHVuaWNvZGU9IiYjeGUyNTQ7IiBkPSJNNzAwIDc0MXYtMTgybC02OTIgLTMyM3YyMjFsNDEzIDE5M2wtNDEzIDE5M3YyMjF6TTEyMDAgMGgtODAwdjIwMGg4MDB2LTIwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMjU1OyIgZD0iTTEyMDAgOTAwaC0yMDB2LTEwMGgyMDB2LTEwMGgtMzAwdjMwMGgyMDB2MTAwaC0yMDB2MTAwaDMwMHYtMzAwek0wIDcwMGg1MHEwIDIxIDQgMzd0OS41IDI2LjV0MTggMTcuNXQyMiAxMXQyOC41IDUuNXQzMSAydDM3IDAuNWgxMDB2LTU1MHEwIC0yMiAtMjUgLTM0LjV0LTUwIC0xMy41bC0yNSAtMnYtMTAwaDQwMHYxMDBxLTQgMCAtMTEgMC41dC0yNCAzdC0zMCA3dC0yNCAxNXQtMTEgMjQuNXY1NTBoMTAwcTI1IDAgMzcgLTAuNXQzMSAtMiB0MjguNSAtNS41dDIyIC0xMXQxOCAtMTcuNXQ5LjUgLTI2LjV0NCAtMzdoNTB2MzAwaC04MDB2LTMwMHoiIC8%2BCjxnbHlwaCB1bmljb2RlPSImI3hlMjU2OyIgZD0iTTgwMCA3MDBoLTUwcTAgMjEgLTQgMzd0LTkuNSAyNi41dC0xOCAxNy41dC0yMiAxMXQtMjguNSA1LjV0LTMxIDJ0LTM3IDAuNWgtMTAwdi01NTBxMCAtMjIgMjUgLTM0LjV0NTAgLTE0LjVsMjUgLTF2LTEwMGgtNDAwdjEwMHE0IDAgMTEgMC41dDI0IDN0MzAgN3QyNCAxNXQxMSAyNC41djU1MGgtMTAwcS0yNSAwIC0zNyAtMC41dC0zMSAtMnQtMjguNSAtNS41dC0yMiAtMTF0LTE4IC0xNy41dC05LjU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<h1 class="title toc-ignore"><div class="line-block">Analysis: Did the GDPR policy have an impact<br />
attitudes towards data sharing/privacy?</div></h1>
<h4 class="author">Paul C. Bauer, Frederic Gerdon, Florian Keusch, Frauke Kreuter, David Vannette</h4>
<h4 class="date"><div class="line-block">18 November, 2021</div></h4>

</div>

<div id="TOC">
<ul>
<li><a href="#load-datasets">Load datasets</a></li>
<li><a href="#main-section">Main section</a>
<ul>
<li><a href="#figure-1-field-periods-google-searches-events">Figure 1: Field periods, google searches &amp; events</a></li>
<li><a href="#figure-2-experimental-setup">Figure 2: Experimental setup</a></li>
<li><a href="#figure-3-gdpr-awareness-across-waves">Figure 3: GDPR Awareness across waves</a></li>
<li><a href="#table-a5figure-4-lm-cross-sectional-data-from-wave-1">Table A5/Figure 4: LM Cross-sectional data from Wave 1</a></li>
<li><a href="#table-a6figure-5-diff-n-diff">Table A6/Figure 5: Diff-n-diff</a></li>
<li><a href="#table-a7figure-6-experiment">Table A7/Figure 6: Experiment</a></li>
</ul></li>
<li><a href="#appendix">Appendix</a>
<ul>
<li><a href="#table-a2-a-a2-a-a3-a-a3-b-a4-a-a4-b-summary-stats">Table A2-A, A2-A, A3-A, A3-B, A4-A, A4-B: Summary stats</a></li>
<li><a href="#figure-a1-distributions-of-changes-from-wave-1-to-wave-2-for-different-variables">Figure A1: Distributions of changes from Wave 1 to Wave 2 for different variables</a></li>
<li><a href="#figure-a2-random-assignment">Figure A2: Random assignment</a></li>
<li><a href="#figure-a3-participation-across-waves">Figure A3: Participation across waves</a></li>
<li><a href="#figure-a4-trust-means-across-waves">Figure A4: Trust means across waves</a></li>
<li><a href="#table-a5-balance-statistics-across-three-groups">TAble A5: Balance statistics across three groups</a></li>
<li><a href="#table-a8-effects-in-subsets">Table A8: Effects in subsets</a></li>
<li><a href="#figa5-correlation-matrices">FigA5: Correlation matrices</a></li>
<li><a href="#table-a10-outcome-privacy-worry">Table A10: Outcome privacy worry</a></li>
<li><a href="#table-a11-outcome-generalized-trust">Table A11: Outcome generalized trust</a></li>
<li><a href="#digital-literacy-robustness">Digital literacy robustness</a></li>
<li><a href="#stuff-not-in-the-paper">Stuff not in the paper</a></li>
<li><a href="#stats-changetrend-in-treatmentcontrol-group-for-trust-outcomes">Stats: Change/trend in treatment/control group for trust outcomes</a></li>
<li><a href="#low-trust-subsets">Low trust subsets</a></li>
</ul></li>
</ul>
</div>

<style>
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body{
  font-family: Georgia;
  font-size: 11pt;
  text-align: justify;
}
pre {
  white-space: pre !important;
  overflow-y: scroll !important;
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<div id="load-datasets" class="section level1">
<h1>Load datasets</h1>
<pre class="r"><code>load(&quot;./data.RData&quot;)</code></pre>
</div>
<div id="main-section" class="section level1">
<h1>Main section</h1>
<div id="figure-1-field-periods-google-searches-events" class="section level2">
<h2>Figure 1: Field periods, google searches &amp; events</h2>
<pre class="r"><code># Words to search for
search.words &lt;- c(&quot;GDPR&quot;, &quot;DSGVO&quot;)

# Download google trends
google.trends &lt;- gtrends(search.words, gprop = &quot;web&quot;, time = &quot;2018-03-01 2018-11-16&quot;, geo = &quot;DE&quot;)[[1]]
google.trends &lt;- dcast(google.trends, date ~ keyword + geo, value.var = &quot;hits&quot;)

google.trends &lt;- data.frame(lapply(google.trends, function(x) {
  gsub(&quot;&lt;1&quot;, &quot;0&quot;, x)
}))

# Rename variables
names(google.trends) &lt;- gsub(&quot;-&quot;, &quot;_&quot;, names(google.trends))
names(google.trends) &lt;- gsub(&quot; &quot;, &quot;_&quot;, names(google.trends))

# Convert date variable
google.trends$date &lt;- as.Date(google.trends$date, &quot;%Y-%m-%d&quot;)

# Mutate factor to numeric and reorder
google.trends &lt;- google.trends %&gt;%
  mutate_if(is.factor, as.character) %&gt;%
  mutate_if(is.character, as.numeric) %&gt;%
  select(
    &quot;date&quot;,
    &quot;DSGVO_DE&quot;,
    &quot;GDPR_DE&quot;
  )

# Aggregate up to weeks
# google.trends &lt;- google.trends %&gt;% group_by(week=floor_date(date, &quot;week&quot;)) %&gt;% summarize_all(mean)


png(&quot;./figure1.png&quot;, width = 8, height = 4, units = &quot;in&quot;, res = 600)
par(oma = c(0, 0, 0, 0), mar = c(4, 4, 1, 1))

plot(1,
  type = &quot;n&quot;,
  xlab = &quot;Month (2018)&quot;,
  ylab = &quot;Searches (100 = max. interest in time period/territory)&quot;,
  ylim = c(0, 100),
  xlim = c(min(google.trends$date), max(google.trends$date)),
  xaxt = &quot;n&quot;,
  cex.axis = 0.8,
  cex.lab = 0.8
)
# Polygons for field periods
# 16th - 23rd of April (Survey &amp; Period 1), 24th of July until 2nd of August (Survey &amp; Period 2) and 29th of October until 7th of November
# Period 1
xx &lt;- c(&quot;2018-04-16&quot;, &quot;2018-04-23&quot;, &quot;2018-04-23&quot;, &quot;2018-04-16&quot;)
xx &lt;- as.Date(xx, &quot;%Y-%m-%d&quot;)
yy &lt;- c(0, 0, 100, 100)
# When density=0, col refers to the line colour
polygon(xx, yy, density = 100, col = &quot;gray&quot;)

# Period 2
xx &lt;- c(&quot;2018-07-24&quot;, &quot;2018-08-02&quot;, &quot;2018-08-02&quot;, &quot;2018-07-24&quot;)
xx &lt;- as.Date(xx, &quot;%Y-%m-%d&quot;)
yy &lt;- c(0, 0, 100, 100)
# When density=0, col refers to the line colour
polygon(xx, yy, density = 100, col = &quot;gray&quot;)

# Period 3
xx &lt;- c(&quot;2018-10-29&quot;, &quot;2018-11-07&quot;, &quot;2018-11-07&quot;, &quot;2018-10-29&quot;)
xx &lt;- as.Date(xx, &quot;%Y-%m-%d&quot;)
yy &lt;- c(0, 0, 100, 100)
# When density=0, col refers to the line colour
polygon(xx, yy, density = 100, col = &quot;gray&quot;)

# Line for 25th of May: Implementation
abline(
  v = as.Date(&quot;2018-05-25&quot;, &quot;%Y-%m-%d&quot;),
  col = &quot;red&quot;,
  lty = &quot;dashed&quot;,
  lwd = 2
)

# # Line for 22th of May: Zuckerberg
# abline(
#   v = as.Date(&quot;2018-05-22&quot;, &quot;%Y-%m-%d&quot;),
#   col = &quot;black&quot;,
#   lty = &quot;dotted&quot;,
#   lwd = 1
# )

# Add axis - months (tickmark on the first)
axis(1, unique(floor_date(google.trends$date, &quot;month&quot;)),
  format(unique(floor_date(google.trends$date, &quot;month&quot;)), &quot;%b-%d&quot;),
  cex.axis = .6
)
# Add search words
lines(google.trends$date,
  google.trends$DSGVO_DE,
  col = &quot;black&quot;,
  lty = &quot;solid&quot;
)
lines(google.trends$date,
  google.trends$GDPR_DE,
  col = &quot;darkgreen&quot;,
  lty = &quot;longdash&quot;
)

# Add a legend
legend.names &lt;- gsub(&quot;_DE&quot;, &quot;&quot;, names(google.trends)[-1])
legend.names &lt;- gsub(&quot;\\.&quot;, &quot; &quot;, legend.names)
legend(as.Date(&quot;2018-8-10&quot;, &quot;%Y-%m-%d&quot;),
  100,
  legend = c(
    legend.names,
    &quot;&quot;,
    &quot;Field periods (Wave 1, 2 and 3)&quot;,
    &quot;Policy implementation (25 of May)&quot;),
  col = c(&quot;black&quot;, &quot;darkgreen&quot;, NA, &quot;gray&quot;, &quot;red&quot;),
  lty = c(&quot;solid&quot;, &quot;longdash&quot;, NA, NA, &quot;dashed&quot;),
  lwd = c(1, 1, NA, NA, 2),
  pch = c(NA, NA, NA, 15, NA),
  cex = 0.6,
  title = &quot;Search terms, field periods &amp; events:&quot;
)

dev.off()</code></pre>
<pre><code>## png 
##   2</code></pre>
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" /></p>
<p><br><br><br></p>
</div>
<div id="figure-2-experimental-setup" class="section level2">
<h2>Figure 2: Experimental setup</h2>
<p>– Not generated in R, See Paper –</p>
<p><br><br><br></p>
</div>
<div id="figure-3-gdpr-awareness-across-waves" class="section level2">
<h2>Figure 3: GDPR Awareness across waves</h2>
<pre class="r"><code># Code below produces the in-text values.

# WAVE 1
x &lt;- data %&gt;% 
  filter(wave == &quot;Wave 1&quot;)

# OLD GDPR know variable
prop.table(table(x$gdpr.know))</code></pre>
<pre><code>## 
##        Ja      Nein 
## 0.3365664 0.6634336</code></pre>
<pre class="r"><code>table(x$gdpr.know, x$gdpr.know.num.old)</code></pre>
<pre><code>##       
##           0    1
##   Ja      0  694
##   Nein 1368    0</code></pre>
<pre class="r"><code>table(x$gdpr.know.new, x$gdpr.know.num)</code></pre>
<pre><code>##    
##        0    1
##   0 1585    0
##   1    0  480</code></pre>
<pre class="r"><code>table(x$gdpr.know.num.old, x$gdpr.know.num)</code></pre>
<pre><code>##    
##        0    1
##   0 1368    0
##   1  214  480</code></pre>
<pre class="r"><code># NEW GDPR know variable
prop.table(table(x$gdpr.know.new))</code></pre>
<pre><code>## 
##         0         1 
## 0.7675545 0.2324455</code></pre>
<pre class="r"><code>round(prop.table(table(x$gdpr.know.new)), 2) # Value of recoded GDPR aware var (1 = Yes)</code></pre>
<pre><code>## 
##    0    1 
## 0.77 0.23</code></pre>
<pre class="r"><code># WAVE 2

# WAVE 1
x &lt;- data %&gt;% 
  filter(wave == &quot;Wave 2&quot;)

# OLD GDPR know variable
prop.table(table(x$gdpr.know))</code></pre>
<pre><code>## 
##       Ja     Nein 
## 0.746779 0.253221</code></pre>
<pre class="r"><code>table(x$gdpr.know, x$gdpr.know.num.old)</code></pre>
<pre><code>##       
##           0    1
##   Ja      0 1507
##   Nein  511    0</code></pre>
<pre class="r"><code>table(x$gdpr.know.new, x$gdpr.know.num)</code></pre>
<pre><code>##    
##        0    1
##   0 1024    0
##   1    0  999</code></pre>
<pre class="r"><code>table(x$gdpr.know.num.old, x$gdpr.know.num)</code></pre>
<pre><code>##    
##       0   1
##   0 511   0
##   1 508 999</code></pre>
<pre class="r"><code># NEW GDPR know variable
prop.table(table(x$gdpr.know.new))</code></pre>
<pre><code>## 
##         0         1 
## 0.5061789 0.4938211</code></pre>
<pre class="r"><code>round(prop.table(table(x$gdpr.know.new)), 2) # Value of recoded GDPR aware var (1 = Yes)</code></pre>
<pre><code>## 
##    0    1 
## 0.51 0.49</code></pre>
<pre class="r"><code>data.expand &lt;- data %&gt;% expand(pid, wave.num)
data.expand &lt;- data %&gt;% right_join(data.expand) %&gt;% arrange(pid, wave.num)
participation &lt;- data.expand %&gt;% group_by(pid) %&gt;% summarise(participation = paste(wave, collapse = &quot;_&quot;))
data.expand &lt;- left_join(data.expand, participation, by = &quot;pid&quot;)

# Means for full wave samples
means.sample.waves &lt;- data.expand %&gt;%
  group_by(wave) %&gt;%
  filter(participation != &quot;NA_Wave 2_Wave 3&quot;, participation != &quot;Wave 1_NA_Wave 3&quot;) %&gt;%
  summarize(
    gdpr.know.num.mean = mean(gdpr.know.num, na.rm = TRUE),
    gdpr.know.num.sd = sd(gdpr.know.num, na.rm = TRUE),
    n = n(),
    n_wo_NA = sum(!is.na(gdpr.know.num)),
    se = gdpr.know.num.sd/sqrt(n_wo_NA),
    ci_95 = qnorm(1 - 0.05/2)*se,
    ci_90 = qnorm(1 - 0.1/2)*se) %&gt;%
  na.omit() %&gt;%
  mutate(participation = wave)

# Means for sample subgroups
means.sample.subgroups &lt;- data.expand %&gt;%
  group_by(participation, wave) %&gt;%
  filter(
    participation != &quot;NA_Wave 2_Wave 3&quot;,
    participation != &quot;Wave 1_NA_Wave 3&quot;
  ) %&gt;%
  summarize(
    gdpr.know.num.mean = mean(gdpr.know.num, na.rm = TRUE),
    gdpr.know.num.sd = sd(gdpr.know.num, na.rm = TRUE),
    n = n(),
    n_wo_NA = sum(!is.na(gdpr.know.num)),
    se = gdpr.know.num.sd/sqrt(n_wo_NA),
    ci_95 = qnorm(1 - 0.05/2)*se,
    ci_90 = qnorm(1 - 0.1/2)*se) %&gt;%
  na.omit()

means &lt;- bind_rows(means.sample.waves, means.sample.subgroups)
# Delete groups only W2/W3 (N = 3) and only W1/W3 (N = 2)
means &lt;- means %&gt;% filter(n &gt; 10)

# Add lables for graph
means &lt;- means %&gt;%
  mutate(label = recode(participation,
    &quot;Wave 1&quot; = &quot;Full Sample&quot;,
    &quot;Wave 2&quot; = &quot;Full Sample&quot;,
    &quot;Wave 3&quot; = &quot;Full Sample&quot;,
    &quot;NA_NA_Wave 3&quot; = &quot;Only W3&quot;,
    &quot;NA_Wave 2_NA&quot; = &quot;Only W2&quot;,
    &quot;Wave 1_NA_NA&quot; = &quot;Only W1&quot;,
    &quot;Wave 1_Wave 2_NA&quot; = &quot;W1 and W2&quot;,
    &quot;Wave 1_Wave 2_Wave 3&quot; = &quot;W1, W2 and W3&quot;
  )) %&gt;% mutate(gdpr.know.num.mean = gdpr.know.num.mean*100,
                ci_95 = ci_95 * 100,
                ci_90 = ci_90 * 100)



# Get per Wave N for x-axis labels
# EXCLUDES: 5 Respondents who participated only in W2 and W3 (N = 3) and only in W1 and W3 (N = 2)
means %&gt;%
  group_by(wave) %&gt;%
  filter(
    participation != &quot;Wave 1&quot;,
    participation != &quot;Wave 2&quot;,
    participation != &quot;Wave 3&quot;
  ) %&gt;%
  summarize(sum(n, na.rm = T))</code></pre>
<pre><code>## # A tibble: 3 x 2
##   wave   `sum(n, na.rm = T)`
##   &lt;chr&gt;                &lt;int&gt;
## 1 Wave 1                2063
## 2 Wave 2                2020
## 3 Wave 3                2083</code></pre>
<pre class="r"><code># INCLUDES: 5 Repondents that participated only in W2 and W3 (N = 3) and only in W1 and W3 (N = 2) and only in W3 ()
data %&gt;% group_by(wave) %&gt;% summarize(n = n())</code></pre>
<pre><code>## # A tibble: 3 x 2
##   wave       n
##   &lt;chr&gt;  &lt;int&gt;
## 1 Wave 1  2065
## 2 Wave 2  2023
## 3 Wave 3  2088</code></pre>
<pre class="r"><code># 2095 - 2093 = 2
# 2046 - 2043 = 3
# 2117 - 2112 = 5 


pd &lt;- position_dodge(0.6)
ggplot(means, aes(x = wave, y = gdpr.know.num.mean, color = factor(label), group = factor(label))) +
    geom_errorbar(aes(ymin=gdpr.know.num.mean - ci_90, 
                    ymax=gdpr.know.num.mean + ci_90,
                    color = factor(label)), 
                colour=&quot;black&quot;,
                size = 1,
                width=.0, 
                position=pd) + 
      geom_errorbar(aes(ymin=gdpr.know.num.mean - ci_95, 
                    ymax=gdpr.know.num.mean + ci_95,
                    color = factor(label)), 
                colour=&quot;black&quot;,
                size = 0.4,
                width=.1, 
                position=pd) +
  geom_point(
    size = 3,
    position=pd
  ) +

  scale_shape(solid = FALSE) +
  ylim(0, 100) +
  ylab(&quot;% GDPR Awareness&quot;) +
  scale_x_discrete(labels = c(
    &quot;Wave 1 (N = 2093)\nApr 16 - 23, 2018&quot;,
    &quot;Wave 2 (N = 2043)\nJul 24 - Aug 02, 2018&quot;,
    &quot;Wave 3 (N = 2112)\nOct 29 - Nov 07, 2018&quot;
  )) +
  theme_light() +
  theme(axis.title.x = element_blank()) + scale_color_manual(
    values = c(&quot;black&quot;, &quot;#e41a1c&quot;, &quot;#377eb8&quot;, &quot;#4daf4a&quot;, &quot;#984ea3&quot;, &quot;#ff7f00&quot;),
    name = &quot;Participation&quot;,
    breaks = levels(factor(means$label)),
    labels = c(
      &quot;Full Sample&quot;,
      &quot;Only W1 (N = 532)&quot;,
      &quot;Only W2 (N = 482)&quot;,
      &quot;Only W3 (N = 843)&quot;,
      &quot;W1 and W2 (N = 292)&quot;,
      &quot;W1, W2 and W3 (N = 1269)&quot;
    )
  )</code></pre>
<p><img 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" width="672" /></p>
<pre class="r"><code>ggsave(&quot;./figure3.png&quot;, width = 7, height = 4)

# dput(levels(factor(means$label)))</code></pre>
<p><br><br><br></p>
</div>
<div id="table-a5figure-4-lm-cross-sectional-data-from-wave-1" class="section level2">
<h2>Table A5/Figure 4: LM Cross-sectional data from Wave 1</h2>
<pre class="r"><code>treatment &lt;- &quot;gdpr.know.new&quot;
controls &lt;- c(&quot;female&quot;, &quot;age.cat.fac&quot;, &quot;school.educ.num4.fact&quot;, &quot;privacy.worry.numeric&quot;, &quot;account.facebook.fac&quot;, &quot;account.google.fac&quot;, &quot;device.smartphone.dummy&quot;, &quot;device.handy.dummy&quot;, &quot;device.desktop.dummy&quot;, &quot;device.tablet.dummy&quot;, &quot;device.ereader.dummy&quot;, &quot;trust.generalized&quot;)


as.formula(paste(&quot;trust.google&quot;, paste(treatment, paste(controls, collapse = &quot; + &quot;), sep = &quot; + &quot;), sep = &quot; ~ &quot;))</code></pre>
<p>trust.google ~ gdpr.know.new + female + age.cat.fac + school.educ.num4.fact + privacy.worry.numeric + account.facebook.fac + account.google.fac + device.smartphone.dummy + device.handy.dummy + device.desktop.dummy + device.tablet.dummy + device.ereader.dummy + trust.generalized</p>
<pre class="r"><code>tab1.trust.google.w1 &lt;- lm(trust.google ~ gdpr.know.new,
  subset = wave.num == 1,
  data = data
)
tab1.trust.facebook.w1 &lt;- lm(trust.facebook ~ gdpr.know.new,
  subset = wave.num == 1,
  data = data
)
tab1.trust.fedoffstats.w1 &lt;- lm(trust.fedoffstats ~ gdpr.know.new,
  subset = wave.num == 1,
  data = data
)
tab1.trust.researchers.w1 &lt;- lm(trust.researchers ~ gdpr.know.new,
  subset = wave.num == 1,
  data = data
)

tab1.trust.google.w1.full &lt;- lm(as.formula(paste(&quot;trust.google&quot;, paste(treatment, paste(controls, collapse = &quot; + &quot;), sep = &quot; + &quot;), sep = &quot; ~ &quot;)),
subset = wave.num == 1, data = data
)

tab1.trust.facebook.w1.full &lt;- lm(as.formula(paste(&quot;trust.facebook&quot;, paste(treatment, paste(controls, collapse = &quot; + &quot;), sep = &quot; + &quot;), sep = &quot; ~ &quot;)),
subset = wave.num == 1, data = data
)

tab1.trust.fedoffstats.w1.full &lt;- lm(as.formula(paste(&quot;trust.fedoffstats&quot;, paste(treatment, paste(controls, collapse = &quot; + &quot;), sep = &quot; + &quot;), sep = &quot; ~ &quot;)),
subset = wave.num == 1, data = data
)

tab1.trust.researchers.w1.full &lt;- lm( as.formula(paste(&quot;trust.researchers&quot;, paste(treatment, paste(controls, collapse = &quot; + &quot;), sep = &quot; + &quot;), sep = &quot; ~ &quot;)),
subset = wave.num == 1, data = data
)

stargazer(tab1.trust.google.w1, tab1.trust.google.w1.full,
  tab1.trust.facebook.w1, tab1.trust.facebook.w1.full,
  tab1.trust.fedoffstats.w1, tab1.trust.fedoffstats.w1.full,
  tab1.trust.researchers.w1, tab1.trust.researchers.w1.full,
  type = &quot;html&quot;,
  dep.var.labels.include = FALSE,
  title = &quot;&quot;,
  omit.stat = c(&quot;LL&quot;, &quot;ser&quot;, &quot;f&quot;, &quot;adj.rsq&quot;),
  t.auto = T, p.auto = T,
  dep.var.caption = &quot;Trust in organizations&quot;,
  # model.names = paste(&quot;(M&quot;, 1:8,&quot;)&quot;, sep=&quot;&quot;),
  ci = FALSE,
  digits = 2,
  ci.level = 0.95,
  single.row = FALSE,
  label = &quot;tab:pooled&quot;,
  table.placement = &quot;H&quot;,
  column.sep.width = &quot;-7pt&quot;,
  align = TRUE,
  column.labels = c(
    &quot;Google&quot;,
    &quot;Facebook&quot;,
    &quot;Federal Stat. Office&quot;,
    &quot;Univ. Researchers&quot;
  ),
  column.separate = c(2, 2, 2, 2),
  star.cutoffs = c(0.05, 0.01, 0.001),
  notes = c(&quot;Data: Respondents in Wave 1.&quot;),
  header = FALSE,
  no.space = TRUE,
  font.size = &quot;tiny&quot;,
  covariate.labels = c(
    &quot;GDPR Awareness (No = 0, Yes = 1)&quot;,
    &quot;Female&quot;,
    &quot;Age: 30-49 (ref.:&lt;30)&quot;,
    &quot;Age: &gt;=50 (ref.:&lt;30)&quot;,
    &quot;Education (ref. Hauptschule): Mittlere Reife&quot;,
    &quot;Education (ref. Hauptschule): Fachabitur&quot;,
    &quot;Education (ref. Hauptschule): Abitur&quot;,
    &quot;Privacy concern&quot;,
    &quot;Account Facebook: No, but before (ref.: Never)&quot;,
    &quot;Account Facebook: Yes (ref.: Never)&quot;,
    &quot;Account Google: No, but before (ref.: Never)&quot;,
    &quot;Account Google: Yes (ref.: Never)&quot;,
    &quot;Device: Smartphone&quot;,
    &quot;Device: Cell phone (no smartphone)&quot;,
    &quot;Device: Desktop/Laptop&quot;,
    &quot;Device: Tablet&quot;,
    &quot;Device: eReader&quot;,
    &quot;Generalized trust&quot;
  ),
  out = &quot;./tableA5.html&quot;
)</code></pre>
<table style="text-align:center">
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
Trust in organizations
</td>
</tr>
<tr>
<td>
</td>
<td colspan="8" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="2">
Google
</td>
<td colspan="2">
Facebook
</td>
<td colspan="2">
Federal Stat. Office
</td>
<td colspan="2">
Univ. Researchers
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1)
</td>
<td>
(2)
</td>
<td>
(3)
</td>
<td>
(4)
</td>
<td>
(5)
</td>
<td>
(6)
</td>
<td>
(7)
</td>
<td>
(8)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
GDPR Awareness (No = 0, Yes = 1)
</td>
<td>
-0.48<sup>**</sup>
</td>
<td>
-0.32<sup>*</sup>
</td>
<td>
-0.58<sup>***</sup>
</td>
<td>
-0.40<sup>**</sup>
</td>
<td>
0.82<sup>***</sup>
</td>
<td>
0.63<sup>***</sup>
</td>
<td>
0.60<sup>***</sup>
</td>
<td>
0.35<sup>*</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.16)
</td>
<td>
(0.16)
</td>
<td>
(0.15)
</td>
<td>
(0.15)
</td>
<td>
(0.16)
</td>
<td>
(0.16)
</td>
<td>
(0.14)
</td>
<td>
(0.14)
</td>
</tr>
<tr>
<td style="text-align:left">
Female
</td>
<td>
</td>
<td>
0.45<sup>***</sup>
</td>
<td>
</td>
<td>
0.34<sup>**</sup>
</td>
<td>
</td>
<td>
0.27
</td>
<td>
</td>
<td>
0.25<sup>*</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.13)
</td>
<td>
</td>
<td>
(0.12)
</td>
<td>
</td>
<td>
(0.14)
</td>
<td>
</td>
<td>
(0.12)
</td>
</tr>
<tr>
<td style="text-align:left">
Age: 30-49 (ref.:&lt;30)
</td>
<td>
</td>
<td>
-0.18
</td>
<td>
</td>
<td>
-0.05
</td>
<td>
</td>
<td>
-0.20
</td>
<td>
</td>
<td>
-0.67<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.19)
</td>
<td>
</td>
<td>
(0.18)
</td>
<td>
</td>
<td>
(0.19)
</td>
<td>
</td>
<td>
(0.17)
</td>
</tr>
<tr>
<td style="text-align:left">
Age: &gt;=50 (ref.:&lt;30)
</td>
<td>
</td>
<td>
-0.16
</td>
<td>
</td>
<td>
-0.11
</td>
<td>
</td>
<td>
0.0005
</td>
<td>
</td>
<td>
-0.50<sup>**</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.20)
</td>
<td>
</td>
<td>
(0.19)
</td>
<td>
</td>
<td>
(0.21)
</td>
<td>
</td>
<td>
(0.18)
</td>
</tr>
<tr>
<td style="text-align:left">
Education (ref. Hauptschule): Mittlere Reife
</td>
<td>
</td>
<td>
-0.58<sup>**</sup>
</td>
<td>
</td>
<td>
-0.37
</td>
<td>
</td>
<td>
-0.33
</td>
<td>
</td>
<td>
0.04
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.22)
</td>
<td>
</td>
<td>
(0.20)
</td>
<td>
</td>
<td>
(0.22)
</td>
<td>
</td>
<td>
(0.19)
</td>
</tr>
<tr>
<td style="text-align:left">
Education (ref. Hauptschule): Fachabitur
</td>
<td>
</td>
<td>
-1.44<sup>***</sup>
</td>
<td>
</td>
<td>
-0.92<sup>***</sup>
</td>
<td>
</td>
<td>
-0.42
</td>
<td>
</td>
<td>
0.07
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.27)
</td>
<td>
</td>
<td>
(0.25)
</td>
<td>
</td>
<td>
(0.27)
</td>
<td>
</td>
<td>
(0.24)
</td>
</tr>
<tr>
<td style="text-align:left">
Education (ref. Hauptschule): Abitur
</td>
<td>
</td>
<td>
-1.48<sup>***</sup>
</td>
<td>
</td>
<td>
-1.15<sup>***</sup>
</td>
<td>
</td>
<td>
0.15
</td>
<td>
</td>
<td>
0.66<sup>**</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.22)
</td>
<td>
</td>
<td>
(0.21)
</td>
<td>
</td>
<td>
(0.23)
</td>
<td>
</td>
<td>
(0.20)
</td>
</tr>
<tr>
<td style="text-align:left">
Privacy concern
</td>
<td>
</td>
<td>
-0.57<sup>***</sup>
</td>
<td>
</td>
<td>
-0.37<sup>***</sup>
</td>
<td>
</td>
<td>
-0.52<sup>***</sup>
</td>
<td>
</td>
<td>
-0.42<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.09)
</td>
<td>
</td>
<td>
(0.09)
</td>
<td>
</td>
<td>
(0.10)
</td>
<td>
</td>
<td>
(0.08)
</td>
</tr>
<tr>
<td style="text-align:left">
Account Facebook: No, but before (ref.: Never)
</td>
<td>
</td>
<td>
-0.14
</td>
<td>
</td>
<td>
0.07
</td>
<td>
</td>
<td>
0.08
</td>
<td>
</td>
<td>
0.13
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.27)
</td>
<td>
</td>
<td>
(0.25)
</td>
<td>
</td>
<td>
(0.28)
</td>
<td>
</td>
<td>
(0.25)
</td>
</tr>
<tr>
<td style="text-align:left">
Account Facebook: Yes (ref.: Never)
</td>
<td>
</td>
<td>
0.40<sup>*</sup>
</td>
<td>
</td>
<td>
1.24<sup>***</sup>
</td>
<td>
</td>
<td>
0.09
</td>
<td>
</td>
<td>
0.13
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.18)
</td>
<td>
</td>
<td>
(0.16)
</td>
<td>
</td>
<td>
(0.18)
</td>
<td>
</td>
<td>
(0.16)
</td>
</tr>
<tr>
<td style="text-align:left">
Account Google: No, but before (ref.: Never)
</td>
<td>
</td>
<td>
0.18
</td>
<td>
</td>
<td>
0.40
</td>
<td>
</td>
<td>
0.32
</td>
<td>
</td>
<td>
-0.18
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.34)
</td>
<td>
</td>
<td>
(0.31)
</td>
<td>
</td>
<td>
(0.34)
</td>
<td>
</td>
<td>
(0.30)
</td>
</tr>
<tr>
<td style="text-align:left">
Account Google: Yes (ref.: Never)
</td>
<td>
</td>
<td>
0.42<sup>*</sup>
</td>
<td>
</td>
<td>
-0.002
</td>
<td>
</td>
<td>
0.21
</td>
<td>
</td>
<td>
0.49<sup>**</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.17)
</td>
<td>
</td>
<td>
(0.16)
</td>
<td>
</td>
<td>
(0.17)
</td>
<td>
</td>
<td>
(0.16)
</td>
</tr>
<tr>
<td style="text-align:left">
Device: Smartphone
</td>
<td>
</td>
<td>
0.39
</td>
<td>
</td>
<td>
0.22
</td>
<td>
</td>
<td>
0.07
</td>
<td>
</td>
<td>
-0.46<sup>*</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.22)
</td>
<td>
</td>
<td>
(0.20)
</td>
<td>
</td>
<td>
(0.22)
</td>
<td>
</td>
<td>
(0.20)
</td>
</tr>
<tr>
<td style="text-align:left">
Device: Cell phone (no smartphone)
</td>
<td>
</td>
<td>
0.44<sup>**</sup>
</td>
<td>
</td>
<td>
0.52<sup>***</sup>
</td>
<td>
</td>
<td>
0.04
</td>
<td>
</td>
<td>
0.04
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.17)
</td>
<td>
</td>
<td>
(0.16)
</td>
<td>
</td>
<td>
(0.17)
</td>
<td>
</td>
<td>
(0.15)
</td>
</tr>
<tr>
<td style="text-align:left">
Device: Desktop/Laptop
</td>
<td>
</td>
<td>
-1.18<sup>**</sup>
</td>
<td>
</td>
<td>
-1.41<sup>***</sup>
</td>
<td>
</td>
<td>
-0.44
</td>
<td>
</td>
<td>
0.23
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.36)
</td>
<td>
</td>
<td>
(0.33)
</td>
<td>
</td>
<td>
(0.37)
</td>
<td>
</td>
<td>
(0.32)
</td>
</tr>
<tr>
<td style="text-align:left">
Device: Tablet
</td>
<td>
</td>
<td>
0.14
</td>
<td>
</td>
<td>
0.15
</td>
<td>
</td>
<td>
0.01
</td>
<td>
</td>
<td>
-0.14
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.14)
</td>
<td>
</td>
<td>
(0.13)
</td>
<td>
</td>
<td>
(0.15)
</td>
<td>
</td>
<td>
(0.13)
</td>
</tr>
<tr>
<td style="text-align:left">
Device: eReader
</td>
<td>
</td>
<td>
0.26
</td>
<td>
</td>
<td>
0.32<sup>*</sup>
</td>
<td>
</td>
<td>
0.28
</td>
<td>
</td>
<td>
0.02
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.16)
</td>
<td>
</td>
<td>
(0.15)
</td>
<td>
</td>
<td>
(0.16)
</td>
<td>
</td>
<td>
(0.15)
</td>
</tr>
<tr>
<td style="text-align:left">
Generalized trust
</td>
<td>
</td>
<td>
0.16<sup>***</sup>
</td>
<td>
</td>
<td>
0.12<sup>***</sup>
</td>
<td>
</td>
<td>
0.26<sup>***</sup>
</td>
<td>
</td>
<td>
0.28<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.03)
</td>
<td>
</td>
<td>
(0.02)
</td>
<td>
</td>
<td>
(0.03)
</td>
<td>
</td>
<td>
(0.02)
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
3.44<sup>***</sup>
</td>
<td>
4.43<sup>***</sup>
</td>
<td>
2.31<sup>***</sup>
</td>
<td>
2.84<sup>***</sup>
</td>
<td>
5.65<sup>***</sup>
</td>
<td>
5.43<sup>***</sup>
</td>
<td>
6.06<sup>***</sup>
</td>
<td>
5.34<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.08)
</td>
<td>
(0.54)
</td>
<td>
(0.07)
</td>
<td>
(0.50)
</td>
<td>
(0.08)
</td>
<td>
(0.55)
</td>
<td>
(0.07)
</td>
<td>
(0.48)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
2,052
</td>
<td>
1,890
</td>
<td>
2,058
</td>
<td>
1,896
</td>
<td>
2,059
</td>
<td>
1,897
</td>
<td>
2,058
</td>
<td>
1,896
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.004
</td>
<td>
0.11
</td>
<td>
0.01
</td>
<td>
0.12
</td>
<td>
0.01
</td>
<td>
0.11
</td>
<td>
0.01
</td>
<td>
0.14
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="8" style="text-align:right">
<sup><em></sup>p&lt;0.05; <sup><strong></sup>p&lt;0.01; <sup></strong></em></sup>p&lt;0.001
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8" style="text-align:right">
Data: Respondents in Wave 1.
</td>
</tr>
</table>
<p><br><br><br></p>
<pre class="r"><code>models &lt;- c(&quot;tab1.trust.facebook.w1&quot;, 
&quot;tab1.trust.facebook.w1.full&quot;,
&quot;tab1.trust.fedoffstats.w1&quot;,
&quot;tab1.trust.fedoffstats.w1.full&quot;,
&quot;tab1.trust.google.w1&quot;,
&quot;tab1.trust.google.w1.full&quot;,
&quot;tab1.trust.researchers.w1&quot;,
&quot;tab1.trust.researchers.w1.full&quot;)

allmodels &lt;- NULL
for(i in 1:length(models)){
  fit_i &lt;- get(models[i])
  name_i &lt;- as.character(formula(fit_i))[2]

model_i &lt;- tidy(fit_i) %&gt;% 
     rename(&quot;Variable&quot; = &quot;term&quot;) %&gt;% 
       rename(&quot;Coefficient&quot; = &quot;estimate&quot;) %&gt;% 
       rename(&quot;SE&quot; = &quot;std.error&quot;) %&gt;%
      # mutate(Model = sub(&#39;.*\\.&#39;, &#39;&#39;, name_i)) %&gt;%
      mutate(Outcome = name_i) %&gt;%
  filter(Variable!=&quot;(Intercept)&quot;) %&gt;%
  mutate(Variable = factor(Variable, ordered = TRUE, levels=rev(Variable))) %&gt;%
  mutate(Variable = factor(Variable, ordered = TRUE, levels=rev(levels(Variable))))

if(str_detect(models[i], &quot;full&quot;)){model_i$Model &lt;- &quot;With Controls&quot;}else{model_i$Model &lt;- &quot;No Controls&quot;}

allmodels &lt;- data.frame(rbind(allmodels, model_i)) 
    
}  


allmodels$Variable &lt;- recode(allmodels$Variable,
                             &quot;gdpr.know.new&quot; = &quot;GDPR Awareness (No = 0, Yes = 1)&quot;,
&quot;female&quot; = &quot;Female&quot;, 
&quot;age.cat.fac30to50&quot; = &quot;Age: 30-49 (ref.:&lt;30)&quot;,
&quot;age.cat.facabove50&quot; = &quot;Age: &gt;=50 (ref.:&lt;30)&quot;, 
&quot;school.educ.num4.factMittlere Reife&quot; = &quot;Education (ref. Hauptschule): Mittlere Reife&quot;, 
&quot;school.educ.num4.factFachhochschulreife&quot; = &quot;Education (ref. Hauptschule): Fachabitur&quot;, 
&quot;school.educ.num4.factAbitur&quot; = &quot;Education (ref. Hauptschule): Abitur&quot;, 
&quot;privacy.worry.numeric&quot; = &quot;Privacy concern&quot;, 
&quot;account.facebook.facNo, but before&quot; = &quot;Account Facebook: No, but before (ref.: Never)&quot;, 
&quot;account.facebook.facYes&quot; = &quot;Account Facebook: Yes (ref.: Never)&quot;, 
&quot;account.google.facNo, but before&quot; = &quot;Account Google: No, but before (ref.: Never)&quot;, 
&quot;account.google.facYes&quot; = &quot;Account Google: Yes (ref.: Never)&quot;, 
&quot;device.smartphone.dummy&quot; = &quot;Device: Smartphone&quot;, 
&quot;device.handy.dummy&quot; = &quot;Device: Cell phone (no smartphone)&quot;, 
&quot;device.desktop.dummy&quot; = &quot;Device: Desktop/Laptop&quot;, 
&quot;device.tablet.dummy&quot; = &quot;Device: Tablet&quot;, 
&quot;device.ereader.dummy&quot; = &quot;Device: eReader&quot;, 
&quot;trust.generalized&quot; = &quot;Generalized trust&quot;)




allmodels$Outcome &lt;- gsub(&quot;\\.&quot;, &quot; &quot;, allmodels$Outcome)
allmodels$Outcome &lt;- str_to_title(allmodels$Outcome) 

allmodels$Model[allmodels$Model==&quot;withcontrols&quot;] &lt;- &quot;With Controls&quot;
allmodels$Model[allmodels$Model==&quot;nocontrols&quot;] &lt;- &quot;No Controls&quot;
                             
allmodels &lt;- allmodels %&gt;% filter(!str_detect(Variable, &quot;Account&quot;))
allmodels &lt;- allmodels %&gt;% filter(!str_detect(Variable, &quot;Device&quot;))
allmodels &lt;- allmodels %&gt;% filter(str_detect(Variable, &quot;GDPR|Privacy concern|Generalized trust&quot;))

allmodels$Variable &lt;- droplevels(allmodels$Variable)

levels(allmodels$Variable)[2] &lt;- &quot;Privacy concern (0-3)&quot;
levels(allmodels$Variable)[3] &lt;- &quot;Generalized trust (0-10)&quot;

#allmodels$Variable &lt;- str_wrap(allmodels$Variable, width = 20)

# Specify the width of your confidence intervals
interval1 &lt;- -qnorm((1-0.9)/2)  # 90% multiplier
interval2 &lt;- -qnorm((1-0.95)/2)  # 95% multiplier

allmodels$Coefficient_labels &lt;- as.numeric(factor(paste(allmodels$Outcome, allmodels$Model, sep=&quot;&quot;)))
allmodels$Coefficient_labels &lt;- paste(round(allmodels$Coefficient, 2), &quot; (M&quot;, allmodels$Coefficient_labels, &quot;)&quot;,sep=&quot;&quot;)
allmodels$Outcome &lt;- gsub(&quot;Trust Researchers&quot;, &quot;Trust University Researchers&quot;, allmodels$Outcome)



# CHANGE ORDER
  allmodels$Outcome &lt;- factor(allmodels$Outcome, 
                              levels = c(&quot;Trust Facebook&quot;, &quot;Trust Google&quot;, &quot;Trust Fedoffstats&quot;, &quot;Trust University Researchers&quot;),
                              ordered = TRUE)
  allmodels$order1 &lt;- allmodels$Variable
  allmodels$order1 &lt;- recode(allmodels$order1,
    &quot;GDPR Awareness (0 = No Change, 1 = Positive Change)&quot; = &quot;1&quot;,
    &quot;Privacy concern (0-3)&quot; = &quot;2&quot;,
    &quot;Generalized trust (0-10)&quot; = &quot;3&quot;
  )
  allmodels$order2 &lt;- allmodels$Outcome
  allmodels$order2&lt;- recode(allmodels$order2,
    &quot;Trust Facebook&quot; = &quot;1&quot;,
    &quot;Trust Google&quot; = &quot;2&quot;,
    &quot;Trust Fedoffstats&quot; = &quot;3&quot;,
    &quot;Trust University Researchers&quot; = &quot;4&quot;
  )
  allmodels &lt;- allmodels %&gt;% arrange(order1, order2)
  allmodels$plot_order_index &lt;- 1:nrow(allmodels)






# Plot
ggplot(allmodels, aes(x = Variable, y = Coefficient, group = plot_order_index)) + 
  geom_hline(yintercept = 0, colour = gray(1/2), lty = 2) + 
  geom_linerange(aes(x = Variable, 
                     ymin = Coefficient - SE*interval1,
                     ymax = Coefficient + SE*interval1,
                     shape = Model,
                     colour = Outcome),
                            lwd = 1, position = position_dodge2(reverse = TRUE, width = 0.8)) + 
  geom_pointrange(aes(x = Variable, 
                      y = Coefficient, 
                      ymin = Coefficient - SE*interval2,
                      ymax = Coefficient + SE*interval2,
                      shape = Model,
                      colour = Outcome),
                  lwd = 1/2,
                  position = position_dodge2(reverse = TRUE, width = 0.8),
                  fill = &quot;WHITE&quot;) +
  geom_text(aes(x = Variable,
                y = Coefficient + SE*interval2+0.25,
                label = Coefficient_labels,
                     shape = Model,
                     colour = Outcome),
            position = position_dodge2(reverse = TRUE, width = 0.8),
            size = 3) +
  coord_flip() + 
  theme_bw() +
    labs(shape = &quot;Model Type&quot;) +
  scale_x_discrete(limits = rev(levels(allmodels$Variable)), 
                   labels = str_wrap(rev(levels(allmodels$Variable)), width = 17)) + 
  scale_colour_discrete(labels = function(x) str_wrap(x, width = 17)) +
  labs(colour = &quot;Outcome (Scale: 0 - 10)&quot;) +
  theme_light()+
  ylim(NA, 1.55)</code></pre>
<pre><code>## Warning: Ignoring unknown aesthetics: shape

## Warning: Ignoring unknown aesthetics: shape</code></pre>
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" width="672" /></p>
<pre class="r"><code>ggsave(&quot;./figure4.png&quot;, width = 7, height = 4)</code></pre>
</div>
<div id="table-a6figure-5-diff-n-diff" class="section level2">
<h2>Table A6/Figure 5: Diff-n-diff</h2>
<p>Generate data.</p>
<pre class="r"><code># Outcome is the change between Wave 1 and Wave 2. Treatment the same (Change can only be 0 or 1). For control variables we replace values in Wave 2 with the lead value, i.e. value of Wave 1 of the respective control variable. Finally, we subset on Wave 2.

# Generate new dataset
  data.did &lt;- data.w1w2
data.did &lt;- data.did %&gt;% arrange(pid, wave) %&gt;%
  group_by(pid) %&gt;%
  mutate(# fill covariate values of Wave 2 with values of Wave 1
     female = dplyr::lag(female, n = 1, default = NA),
     age.cat.fac = dplyr::lag(age.cat.fac, n = 1, default = NA),
     school.educ.num4.fact = dplyr::lag(school.educ.num4.fact, n = 1, default = NA),
     privacy.worry.numeric = dplyr::lag(privacy.worry.numeric, n = 1, default = NA),
     account.facebook.fac = dplyr::lag(account.facebook.fac, n = 1, default = NA),
     account.google.fac = dplyr::lag(account.google.fac, n = 1, default = NA),
     device.smartphone.dummy = dplyr::lag(device.smartphone.dummy, n = 1, default = NA),
     device.handy.dummy = dplyr::lag(device.handy.dummy, n = 1, default = NA),
     device.desktop.dummy = dplyr::lag(device.desktop.dummy, n = 1, default = NA),
     device.tablet.dummy = dplyr::lag(device.tablet.dummy, n = 1, default = NA),
     device.ereader.dummy = dplyr::lag(device.ereader.dummy, n = 1, default = NA),
     trust.google = dplyr::lag(trust.google, n = 1, default = NA),
     trust.facebook = dplyr::lag(trust.facebook, n = 1, default = NA),
     trust.fedoffstats = dplyr::lag(trust.fedoffstats, n = 1, default = NA),
     trust.researchers = dplyr::lag(trust.researchers, n = 1, default = NA),
     number.devices = dplyr::lag(number.devices, n = 1, default = NA),
     number.accounts = dplyr::lag(number.accounts, n = 1, default = NA),
     abitur = dplyr::lag(abitur, n = 1, default = NA),
     trust.generalized = dplyr::lag(trust.generalized, n = 1, default = NA)) %&gt;% filter(wave == &quot;Wave 2&quot;)</code></pre>
<pre class="r"><code># Lm models for comparison of intercepts
outcomes &lt;- c(&quot;trust.google.diff&quot;, &quot;trust.facebook.diff&quot;, &quot;trust.fedoffstats.diff&quot;, &quot;trust.researchers.diff&quot;)
treatment &lt;- &quot;gdpr.know.num.diff&quot;


model.list &lt;- NULL
z &lt;- 1
for (i in outcomes) {
  
  # Construct models: Bivariate ####
  formula &lt;- paste(i, treatment, sep = &quot; ~ &quot;)
  model.object.name &lt;- paste(&quot;fit.lm.&quot;, i, &quot;.nocontrols&quot;, sep = &quot;&quot;)
  
  # Estimate bivariate PLM FD models
  assign(model.object.name, 
         lm(as.formula(formula),
               data = data.did)
         )

  # Store model results
  model.list[[z]] &lt;- get(ls()[str_detect(ls(), model.object.name)])
  names(model.list)[z] &lt;- model.object.name
  
  # Update counter
  z &lt;- z + 1

  
  # Construct models: With controls ####
  formula &lt;- paste(i, paste(c(treatment, controls), collapse = &quot; + &quot;), sep = &quot; ~ &quot;) # controls would need to be diffed as well
  model.object.name &lt;- paste(&quot;fit.lm.&quot;, i, &quot;.withcontrols&quot;, sep = &quot;&quot;)
  
  # Estimate LMs
  assign(model.object.name, 
         lm(as.formula(formula),
               data = data.did))

  model.list[[z]] &lt;- get(ls()[str_detect(ls(), model.object.name)])
  names(model.list)[z] &lt;-model.object.name

  z &lt;- z + 1
}


# Automatize generation of outcome labels
outcomes &lt;- str_replace_all(str_extract_all(names(model.list), &quot;\\.[a-z_]*\\.[a-z_]*\\.[a-z_]*$&quot;), &quot;\\.withcontrols|\\.nocontrols&quot;, &quot;&quot;)
outcomes &lt;- gsub(&quot;\\.&quot;, &quot; &quot;, outcomes)
outcomes &lt;- gsub(&quot;^\\s&quot;, &quot;&quot;, outcomes)
outcomes &lt;- gsub(&quot;(^|[[:space:]])([[:alpha:]])&quot;, &quot;\\1\\U\\2&quot;, outcomes, perl = TRUE)
outcomes &lt;- unique(outcomes)

stargazer(model.list,
  type = &quot;html&quot;,
  title = &quot;&quot;,
  omit.stat = c(&quot;LL&quot;, &quot;ser&quot;, &quot;f&quot;, &quot;adj.rsq&quot;),
  t.auto = T, p.auto = T,
  dep.var.caption = &quot;Trust in organizations&quot;,
  dep.var.labels.include = FALSE,
  ci = FALSE,
  digits = 2,
  ci.level = 0.95,
  single.row = FALSE,
  label = &quot;tab:fe-within&quot;,
  table.placement = &quot;H&quot;,
  column.sep.width = &quot;-7pt&quot;,
  align = TRUE,
  column.labels = c(
    &quot;Google&quot;,
    &quot;Facebook&quot;,
    &quot;Federal Stat. Office&quot;,
    &quot;Univ. Researchers&quot;
  ),
  column.separate = c(2, 2, 2, 2, 2),
  model.names = FALSE,
  model.numbers = TRUE,
  star.cutoffs = c(0.05, 0.01, 0.001),
  notes = c(&quot;Data: Respondents to both Wave 1 and Wave 2 (balanced panel).&quot;),
  header = FALSE,
  no.space = TRUE,
  covariate.labels = c(
    &quot;GDPR Awareness (0 = No Change, 1 = Positive Change)&quot;,
    &quot;Female&quot;,
    &quot;Age: 30-49 (ref.:&lt;30)&quot;,
    &quot;Age: &gt;=50 (ref.:&lt;30)&quot;,
    &quot;Education (ref. Hauptschule): Mittlere Reife&quot;,
    &quot;Education (ref. Hauptschule): Fachabitur&quot;,
    &quot;Education (ref. Hauptschule): Abitur&quot;,
    &quot;Privacy concern&quot;,
    &quot;Account Facebook: No, but before (ref.: Never)&quot;,
    &quot;Account Facebook: Yes (ref.: Never)&quot;,
    &quot;Account Google: No, but before (ref.: Never)&quot;,
    &quot;Account Google: Yes (ref.: Never)&quot;,
    &quot;Device: Smartphone&quot;,
    &quot;Device: Cell phone (no smartphone)&quot;,
    &quot;Device: Desktop/Laptop&quot;,
    &quot;Device: Tablet&quot;,
    &quot;Device: eReader&quot;,
    &quot;Generalized trust&quot;),
  font.size = &quot;tiny&quot;,
  out = &quot;./tableA6.html&quot;
)</code></pre>
<table style="text-align:center">
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
Trust in organizations
</td>
</tr>
<tr>
<td>
</td>
<td colspan="8" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="2">
Google
</td>
<td colspan="2">
Facebook
</td>
<td colspan="2">
Federal Stat. Office
</td>
<td colspan="2">
Univ. Researchers
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1)
</td>
<td>
(2)
</td>
<td>
(3)
</td>
<td>
(4)
</td>
<td>
(5)
</td>
<td>
(6)
</td>
<td>
(7)
</td>
<td>
(8)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
GDPR Awareness (0 = No Change, 1 = Positive Change)
</td>
<td>
0.19
</td>
<td>
0.18
</td>
<td>
-0.03
</td>
<td>
-0.06
</td>
<td>
0.02
</td>
<td>
-0.05
</td>
<td>
0.18
</td>
<td>
0.25
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.17)
</td>
<td>
(0.18)
</td>
<td>
(0.16)
</td>
<td>
(0.17)
</td>
<td>
(0.18)
</td>
<td>
(0.19)
</td>
<td>
(0.17)
</td>
<td>
(0.17)
</td>
</tr>
<tr>
<td style="text-align:left">
Female
</td>
<td>
</td>
<td>
0.06
</td>
<td>
</td>
<td>
-0.10
</td>
<td>
</td>
<td>
-0.34
</td>
<td>
</td>
<td>
-0.37<sup>*</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.18)
</td>
<td>
</td>
<td>
(0.17)
</td>
<td>
</td>
<td>
(0.19)
</td>
<td>
</td>
<td>
(0.17)
</td>
</tr>
<tr>
<td style="text-align:left">
Age: 30-49 (ref.:&lt;30)
</td>
<td>
</td>
<td>
0.20
</td>
<td>
</td>
<td>
0.26
</td>
<td>
</td>
<td>
0.27
</td>
<td>
</td>
<td>
0.35
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.28)
</td>
<td>
</td>
<td>
(0.27)
</td>
<td>
</td>
<td>
(0.30)
</td>
<td>
</td>
<td>
(0.27)
</td>
</tr>
<tr>
<td style="text-align:left">
Age: &gt;=50 (ref.:&lt;30)
</td>
<td>
</td>
<td>
0.11
</td>
<td>
</td>
<td>
-0.05
</td>
<td>
</td>
<td>
0.42
</td>
<td>
</td>
<td>
0.35
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.29)
</td>
<td>
</td>
<td>
(0.28)
</td>
<td>
</td>
<td>
(0.31)
</td>
<td>
</td>
<td>
(0.28)
</td>
</tr>
<tr>
<td style="text-align:left">
Education (ref. Hauptschule): Mittlere Reife
</td>
<td>
</td>
<td>
-0.10
</td>
<td>
</td>
<td>
-0.0003
</td>
<td>
</td>
<td>
0.52
</td>
<td>
</td>
<td>
0.18
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.26)
</td>
<td>
</td>
<td>
(0.26)
</td>
<td>
</td>
<td>
(0.29)
</td>
<td>
</td>
<td>
(0.26)
</td>
</tr>
<tr>
<td style="text-align:left">
Education (ref. Hauptschule): Fachabitur
</td>
<td>
</td>
<td>
0.30
</td>
<td>
</td>
<td>
0.16
</td>
<td>
</td>
<td>
0.45
</td>
<td>
</td>
<td>
-0.17
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.34)
</td>
<td>
</td>
<td>
(0.33)
</td>
<td>
</td>
<td>
(0.37)
</td>
<td>
</td>
<td>
(0.34)
</td>
</tr>
<tr>
<td style="text-align:left">
Education (ref. Hauptschule): Abitur
</td>
<td>
</td>
<td>
0.10
</td>
<td>
</td>
<td>
-0.04
</td>
<td>
</td>
<td>
0.60
</td>
<td>
</td>
<td>
0.09
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.28)
</td>
<td>
</td>
<td>
(0.28)
</td>
<td>
</td>
<td>
(0.31)
</td>
<td>
</td>
<td>
(0.27)
</td>
</tr>
<tr>
<td style="text-align:left">
Privacy concern
</td>
<td>
</td>
<td>
0.22
</td>
<td>
</td>
<td>
0.03
</td>
<td>
</td>
<td>
0.13
</td>
<td>
</td>
<td>
0.29<sup>*</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.12)
</td>
<td>
</td>
<td>
(0.12)
</td>
<td>
</td>
<td>
(0.13)
</td>
<td>
</td>
<td>
(0.12)
</td>
</tr>
<tr>
<td style="text-align:left">
Account Facebook: No, but before (ref.: Never)
</td>
<td>
</td>
<td>
-0.33
</td>
<td>
</td>
<td>
-0.02
</td>
<td>
</td>
<td>
0.11
</td>
<td>
</td>
<td>
-0.17
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.35)
</td>
<td>
</td>
<td>
(0.34)
</td>
<td>
</td>
<td>
(0.38)
</td>
<td>
</td>
<td>
(0.35)
</td>
</tr>
<tr>
<td style="text-align:left">
Account Facebook: Yes (ref.: Never)
</td>
<td>
</td>
<td>
-0.02
</td>
<td>
</td>
<td>
0.25
</td>
<td>
</td>
<td>
0.27
</td>
<td>
</td>
<td>
0.32
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.22)
</td>
<td>
</td>
<td>
(0.22)
</td>
<td>
</td>
<td>
(0.24)
</td>
<td>
</td>
<td>
(0.22)
</td>
</tr>
<tr>
<td style="text-align:left">
Account Google: No, but before (ref.: Never)
</td>
<td>
</td>
<td>
0.21
</td>
<td>
</td>
<td>
0.28
</td>
<td>
</td>
<td>
0.04
</td>
<td>
</td>
<td>
0.01
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.46)
</td>
<td>
</td>
<td>
(0.44)
</td>
<td>
</td>
<td>
(0.49)
</td>
<td>
</td>
<td>
(0.44)
</td>
</tr>
<tr>
<td style="text-align:left">
Account Google: Yes (ref.: Never)
</td>
<td>
</td>
<td>
0.31
</td>
<td>
</td>
<td>
0.14
</td>
<td>
</td>
<td>
-0.02
</td>
<td>
</td>
<td>
-0.59<sup>**</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.22)
</td>
<td>
</td>
<td>
(0.22)
</td>
<td>
</td>
<td>
(0.24)
</td>
<td>
</td>
<td>
(0.22)
</td>
</tr>
<tr>
<td style="text-align:left">
Device: Smartphone
</td>
<td>
</td>
<td>
0.06
</td>
<td>
</td>
<td>
0.10
</td>
<td>
</td>
<td>
0.29
</td>
<td>
</td>
<td>
0.53<sup>*</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.27)
</td>
<td>
</td>
<td>
(0.27)
</td>
<td>
</td>
<td>
(0.30)
</td>
<td>
</td>
<td>
(0.27)
</td>
</tr>
<tr>
<td style="text-align:left">
Device: Cell phone (no smartphone)
</td>
<td>
</td>
<td>
0.22
</td>
<td>
</td>
<td>
0.19
</td>
<td>
</td>
<td>
0.15
</td>
<td>
</td>
<td>
0.26
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.22)
</td>
<td>
</td>
<td>
(0.21)
</td>
<td>
</td>
<td>
(0.24)
</td>
<td>
</td>
<td>
(0.21)
</td>
</tr>
<tr>
<td style="text-align:left">
Device: Desktop/Laptop
</td>
<td>
</td>
<td>
0.20
</td>
<td>
</td>
<td>
1.09<sup>*</sup>
</td>
<td>
</td>
<td>
-0.39
</td>
<td>
</td>
<td>
0.03
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.49)
</td>
<td>
</td>
<td>
(0.48)
</td>
<td>
</td>
<td>
(0.54)
</td>
<td>
</td>
<td>
(0.48)
</td>
</tr>
<tr>
<td style="text-align:left">
Device: Tablet
</td>
<td>
</td>
<td>
0.19
</td>
<td>
</td>
<td>
0.09
</td>
<td>
</td>
<td>
0.17
</td>
<td>
</td>
<td>
0.45<sup>*</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.19)
</td>
<td>
</td>
<td>
(0.18)
</td>
<td>
</td>
<td>
(0.21)
</td>
<td>
</td>
<td>
(0.18)
</td>
</tr>
<tr>
<td style="text-align:left">
Device: eReader
</td>
<td>
</td>
<td>
-0.47<sup>*</sup>
</td>
<td>
</td>
<td>
-0.36
</td>
<td>
</td>
<td>
-0.20
</td>
<td>
</td>
<td>
0.002
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.22)
</td>
<td>
</td>
<td>
(0.21)
</td>
<td>
</td>
<td>
(0.24)
</td>
<td>
</td>
<td>
(0.21)
</td>
</tr>
<tr>
<td style="text-align:left">
Generalized trust
</td>
<td>
</td>
<td>
-0.03
</td>
<td>
</td>
<td>
-0.002
</td>
<td>
</td>
<td>
0.02
</td>
<td>
</td>
<td>
-0.07<sup>*</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.03)
</td>
<td>
</td>
<td>
(0.03)
</td>
<td>
</td>
<td>
(0.04)
</td>
<td>
</td>
<td>
(0.03)
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
0.03
</td>
<td>
-0.87
</td>
<td>
0.23<sup>*</sup>
</td>
<td>
-1.25
</td>
<td>
0.13
</td>
<td>
-0.85
</td>
<td>
0.18
</td>
<td>
-0.77
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.11)
</td>
<td>
(0.71)
</td>
<td>
(0.10)
</td>
<td>
(0.69)
</td>
<td>
(0.12)
</td>
<td>
(0.78)
</td>
<td>
(0.11)
</td>
<td>
(0.69)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
1,170
</td>
<td>
1,088
</td>
<td>
1,181
</td>
<td>
1,099
</td>
<td>
1,177
</td>
<td>
1,095
</td>
<td>
1,174
</td>
<td>
1,093
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.001
</td>
<td>
0.02
</td>
<td>
0.0000
</td>
<td>
0.01
</td>
<td>
0.0000
</td>
<td>
0.01
</td>
<td>
0.001
</td>
<td>
0.04
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="8" style="text-align:right">
<sup><em></sup>p&lt;0.05; <sup><strong></sup>p&lt;0.01; <sup></strong></em></sup>p&lt;0.001
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8" style="text-align:right">
Data: Respondents to both Wave 1 and Wave 2 (balanced panel).
</td>
</tr>
</table>
<pre class="r"><code>allmodels &lt;- NULL
for(i in 1:length(model.list)){
  name_i &lt;- names(model.list)[i]

model_i &lt;- tidy(model.list[[i]]) %&gt;% 
     rename(&quot;Variable&quot; = &quot;term&quot;) %&gt;% 
       rename(&quot;Coefficient&quot; = &quot;estimate&quot;) %&gt;% 
       rename(&quot;SE&quot; = &quot;std.error&quot;) %&gt;%
      mutate(Model = sub(&#39;.*\\.&#39;, &#39;&#39;, name_i)) %&gt;%
      mutate(Outcome = gsub(&quot;fit.lm.|.diff.withcontrols|.diff.nocontrols&quot;,&quot;&quot;, name_i)) %&gt;%
  filter(Variable!=&quot;(Intercept)&quot;) %&gt;%
  mutate(Variable = factor(Variable, ordered = TRUE, levels=rev(Variable))) %&gt;%
  mutate(Variable = factor(Variable, ordered = TRUE, levels=rev(levels(Variable))))

allmodels &lt;- data.frame(rbind(allmodels, model_i)) 
    
}  


allmodels$Variable &lt;- recode(allmodels$Variable,
                             &quot;gdpr.know.num.diff&quot; = &quot;GDPR Awareness (0 = No Change, 1 = Positive Change)&quot;,
&quot;female&quot; = &quot;Female&quot;, 
&quot;age.cat.fac30to50&quot; = &quot;Age: 30-49 (ref.:&lt;30)&quot;,
&quot;age.cat.facabove50&quot; = &quot;Age: &gt;=50 (ref.:&lt;30)&quot;, 
&quot;school.educ.num4.factMittlere Reife&quot; = &quot;Education (ref. Hauptschule): Mittlere Reife&quot;, 
&quot;school.educ.num4.factFachhochschulreife&quot; = &quot;Education (ref. Hauptschule): Fachabitur&quot;, 
&quot;school.educ.num4.factAbitur&quot; = &quot;Education (ref. Hauptschule): Abitur&quot;, 
&quot;privacy.worry.numeric&quot; = &quot;Privacy concern&quot;, 
&quot;account.facebook.facNo, but before&quot; = &quot;Account Facebook: No, but before (ref.: Never)&quot;, 
&quot;account.facebook.facYes&quot; = &quot;Account Facebook: Yes (ref.: Never)&quot;, 
&quot;account.google.facNo, but before&quot; = &quot;Account Google: No, but before (ref.: Never)&quot;, 
&quot;account.google.facYes&quot; = &quot;Account Google: Yes (ref.: Never)&quot;, 
&quot;device.smartphone.dummy&quot; = &quot;Device: Smartphone&quot;, 
&quot;device.handy.dummy&quot; = &quot;Device: Cell phone (no smartphone)&quot;, 
&quot;device.desktop.dummy&quot; = &quot;Device: Desktop/Laptop&quot;, 
&quot;device.tablet.dummy&quot; = &quot;Device: Tablet&quot;, 
&quot;device.ereader.dummy&quot; = &quot;Device: eReader&quot;, 
&quot;trust.generalized&quot; = &quot;Generalized trust&quot;)




allmodels$Outcome &lt;- gsub(&quot;\\.&quot;, &quot; &quot;, allmodels$Outcome)
allmodels$Outcome &lt;- str_to_title(allmodels$Outcome) 

allmodels$Model[allmodels$Model==&quot;withcontrols&quot;] &lt;- &quot;With Controls&quot;
allmodels$Model[allmodels$Model==&quot;nocontrols&quot;] &lt;- &quot;No Controls&quot;
                             
allmodels &lt;- allmodels %&gt;% filter(!str_detect(Variable, &quot;Account&quot;))
allmodels &lt;- allmodels %&gt;% filter(!str_detect(Variable, &quot;Device&quot;))

allmodels &lt;- allmodels %&gt;% filter(str_detect(Variable, &quot;GDPR|Privacy concern|Generalized trust&quot;))

allmodels$Variable &lt;- droplevels(allmodels$Variable)

levels(allmodels$Variable)[2] &lt;- &quot;Privacy concern (0-3)&quot;
levels(allmodels$Variable)[3] &lt;- &quot;Generalized trust (0-10)&quot;

#allmodels$Variable &lt;- str_wrap(allmodels$Variable, width = 20)

# Specify the width of your confidence intervals
interval1 &lt;- -qnorm((1-0.9)/2)  # 90% multiplier
interval2 &lt;- -qnorm((1-0.95)/2)  # 95% multiplier

allmodels$Outcome &lt;- paste(allmodels$Outcome, &quot; Change&quot;, sep=&quot;&quot;)

allmodels$Coefficient_labels &lt;- as.numeric(factor(paste(allmodels$Outcome, allmodels$Model, sep=&quot;&quot;)))
allmodels$Coefficient_labels &lt;- allmodels$Coefficient_labels + 8
allmodels$Coefficient_labels &lt;- paste(round(allmodels$Coefficient, 2), &quot; (M&quot;, allmodels$Coefficient_labels, &quot;)&quot;,sep=&quot;&quot;)
allmodels$Outcome &lt;- gsub(&quot;Trust Researchers&quot;, &quot;Trust University Researchers&quot;, allmodels$Outcome)





# CHANGE ORDER
  allmodels$Outcome &lt;- factor(allmodels$Outcome, 
                              levels = c(&quot;Trust Facebook Change&quot;, &quot;Trust Google Change&quot;, &quot;Trust Fedoffstats Change&quot;, &quot;Trust University Researchers Change&quot;),
                              ordered = TRUE)
  allmodels$order1 &lt;- allmodels$Variable
  allmodels$order1 &lt;- recode(allmodels$order1,
    &quot;GDPR Awareness (0 = No Change, 1 = Positive Change)&quot; = &quot;1&quot;,
    &quot;Privacy concern (0-3)&quot; = &quot;2&quot;,
    &quot;Generalized trust (0-10)&quot; = &quot;3&quot;
  )
  allmodels$order2 &lt;- allmodels$Outcome
  allmodels$order2&lt;- recode(allmodels$order2,
    &quot;Trust Facebook Change&quot; = &quot;1&quot;,
    &quot;Trust Google Change&quot; = &quot;2&quot;,
    &quot;Trust Fedoffstats Change&quot; = &quot;3&quot;,
    &quot;Trust University Researchers Change&quot; = &quot;4&quot;
  )
  allmodels &lt;- allmodels %&gt;% arrange(order1, order2)
  allmodels$plot_order_index &lt;- 1:nrow(allmodels)



# Plot
ggplot(allmodels, aes(x = Variable, y = Coefficient, group = plot_order_index)) + 
  geom_hline(yintercept = 0, colour = gray(1/2), lty = 2) + 
  geom_linerange(aes(x = Variable, 
                     ymin = Coefficient - SE*interval1,
                     ymax = Coefficient + SE*interval1,
                     shape = Model,
                     colour = Outcome),
                            lwd = 1, position = position_dodge2(reverse = TRUE, width = 0.8)) + 
  geom_pointrange(aes(x = Variable, 
                      y = Coefficient, 
                      ymin = Coefficient - SE*interval2,
                      ymax = Coefficient + SE*interval2,
                      shape = Model,
                      colour = Outcome),
                  lwd = 1/2,
                  position = position_dodge2(reverse = TRUE, width = 0.8),
                  fill = &quot;WHITE&quot;) +
  geom_text(aes(x = Variable,
                y = Coefficient + SE*interval2+0.15,
                label = Coefficient_labels,
                     shape = Model,
                     colour = Outcome),
            position = position_dodge2(reverse = TRUE, width = 0.8),
            size = 3) +
  coord_flip() + theme_light() +
    labs(colour = &quot;Outcome (Scale: -10 - 10)&quot;) +
  labs(shape = &quot;Model Type&quot;) +
  scale_x_discrete(limits = rev(levels(allmodels$Variable)), 
                   labels = str_wrap(rev(levels(allmodels$Variable)), width = 16)) + 
  scale_colour_discrete(labels = function(x) str_wrap(x, width = 22)) +
  ylim(NA, 0.85)</code></pre>
<pre><code>## Warning: Ignoring unknown aesthetics: shape

## Warning: Ignoring unknown aesthetics: shape</code></pre>
<p><img 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9Zaay74o39CRIr2xAfShopKkYmQ3y+i3WpO34X+0KSI7DNk1ekt9OnFoIhhz881i+Ef2/Ws4eOJ4M2bxTtj1hC8eUNknyTrwFe5r/iX//vEhofmhxOa72f2hZT/vKhycGH4YvDQHn09/wAAKAAE8EB+rJF4G8CiFH8qs3hWsuzHAX7xi0iVoSzhnbJKg0jI/68h0ez0ru/CqX/9UUQqKx8TCd3+6N//diM0KSLhKLooTRd6/483J0SqinYlGRYOnr8MHtkTlS2/GRoO588XEq4wvPjOEy+KiIiiJLtphl9IxWN7qmRyInjLX/Si3qb6AACscZTQAwDw6Pqx9w8/uCLRu4hM3lhwOX74NGl9vohEsveVSXPpavAcW0WvJu0T8+crx1BRKSIhf+rPAgBAISEDD+RHzot1SekDy5TiT6WiKGazeTUXk97k5I8iSc5R13Hh9GRIRCYHFybFsPfNnxxRc9f+YO+fF4YnQh//ObjrnaSV57e/DEo4e5+MWtYeVUWvJu2zrNjXJfELUTPz8YUAAAAUMDLwAAAUoJTxs/4LDa90PH5ksfK8oujIO8V7RU8Xeqn4afLT4ER2/qJIonrRT/0jOJnYfy6nEr+Q8p/ytxwAwDpDBh5YJ9ZI/621mKhcXdmVQmT36+PbXg9uf/S960bca0W2M/GHq+ecmp3W2sdedOhwcHgw+R57CfkntV6Os8ewV2T4Ruj2G7Iz3EB+Nevno0zKlCSv9gcAoJDwbBoAgDWoQipEZCI0nfCOWv2eNAGe0YXJ97FPTv6Y4YrjFO3ZJyLBmzdzVD+f9RcCAMD6QQYeAHIm604E3//u7UyT8CdPnhSRzs7O7O6ItWLnG0+8/4bmO49VVIlM/Oj3S2xPeDUBbqhI2lld14Vqo/hJrey0Gg8nL9FX97en+VyiVtHfCA5/GTxUmZP6+Wy/kBTN9gAAKDAE8ACQM2tkIwPWB8OuZw0fT4Q+/ufgi29EH8YW/DjlEW56L6yQCpHJiYXLN4uOJJ7WnvSMd5G059gtqjBUikxOhi5P5qR+PuMvRD0qDwCAdYQSegAA1qTynxdVisiNhdMfBadERGTqZvD0h0ERqXz2sRRZZX0XFh06bBCR4Q9/6P0kPEz8wd4/LAxL6gcE4eZw6Wvs1cPkJoLDOeo/n+kXopYSrGjnPAAAVhcZeAAA1qaKoqNvhv70YXDyxsKfbiwsvb6vuO3lpdT31Cc//GkwJFXFv1k8+E3fheUvP26b/MF1IzQ8uDA8GDWsqsiW/Aw5kcXUetrmcOGcuSyjZ37sfXV9roi0ew0AACg4ZOABAFiryvcU/+bN4r1Viy8Y9h5+/P030qeUdV64843Hf/Nm8d6qxejXULmv+DfvpOuBX1H0y30iE8Fb/nTLUHPmKQvyM5LBF6J2zktZSgAAQKEhAw8AwBpWvqfoyJ6iIykGvPz4+y9nc2FGw+KoDepu/iP0YlTqW6MhX0VR25mE6HpP8ftnUv39I3ljvwwWHD55viFlKQEAAAWGDDwAAMjUnqJXqmRyMHg73wtJInh5MCRVxYfycvI8AAArhQAeAABkzPBiQ5FI8G+fhPK9Ei03Q8Ok3wEA6xABPAAUpM7OTpvNlu9V4FG2p9i2b20m4YO9HwZlX/ER0u8AgPWGAB4AAGRl5xvFe9deEn7qk+CwFNl0tPoDAKDQ0MQOAABkqehIYo+6fEvW1Q8AgMJHBh4AAAAAgAJAAA8AAAAAQAEggAcAAAAAoAAQwAMAAAAAUABoYgcAWCdOnDdE//ju62urOTrWgLHPr78x4vP4RUSkwnT6xR32mo0ZzTDUd75hxHTx3efrNd6cH+q7/t7InEdERGp37/i9dXt9me6pR68beudPv33IXiYiE8dO3LlVsXHX7pLXapJOMjZ696+35vqmfLtefP1sTeYL/p//8899l98dmZOkC553fnCprdwSaq7S/TEAACuJDDwAFKSTJ0+6XK58r2KtOHHeEBe9J3sRj7ChvvPbLkWidxHx+9p6Lx0bzWSK0esNI0nemp44duJSQyR6FxHPyJ2GM5d1zz9xrNcnu3fYl+LnOY/f13PpToN7Itklf+y90zYS9YkyW/Dduv+mLEbvSRa80f6iSUa8mX1LAICVUwgZeJ+3v+/clfuKooRfMJvNWw4cbW6ymOKHersaHW6tOcKX7LeY4q7x9dtbXYrWJWI2W+PvknT+yD2OHm9PXFUK4dubbd3OpkyuAwBEpI7ST5w3kIqHLIayJaePPG+v2SgyP/T59YZLcz29l2vCSe80xkavb+v1JXlz3vkXb49Ezy9jo9ff6PXpnH+oz9sjpovxie6S2oo5z8iDoeYqjfz56IMedUCSAD7dgu94RJ7dbflLc9VWEbV8oGFkrqf3+mvR6fqa5y/uPt8Q9yIAIF/WeAbe199lb2x1uNxL0buIKIridjlaG+1d3mT/XYoXvqQ1g0tEvcTen8k9HK2NXV69NxDxXbuiiIgoV67pXhYAYImeHDt5eMi881OfiLQcORSpmd9Yf/DQxd0iMtc3Op/m6ukJZ9/l5MGwyOidNr+IlJx+e3F+2Vrz/NUjJpG5tqQp9MX57743IrUv7UiMkHeVl4j4LmglwIdu+aTC1Fy+jAX/p8o/haN3EdlY3/z86QpJvF29dUet+N77PN23BABYBWs5A7+YHDdbbTHJc5/P23fqnFtR3I5W6Rhot8RdaE18zefzXus753InuUQrA+7z9p9yuBTFdap/f+ybGvMvjRe3o6tW630N3j6XIlar1e12X7nmayIHDwDASpj29flFxPRa7EbxeuuO2pE7nhHf2MHtW7WvFJm+W3fmjkdEKkwXf7X5whk10x5jbHpeRGIL4EVEpGZzi/h6kqXQI4bcdzxSclprN37NLlPtyFzPrYmzNXHJ+YkLI1L7kulp/50sFiw1z4feFYlJj4jIxqfLRRLz+WWm5oo7bZfuDB0kCQ8A+bZ2A3hvV6tLETFbOxKq0k0mS7vT0txvb3Up7nP9zZb0ka/JZGlqt+yvtre6FJ0RtsnS5OwYb3S4FVeft0nf+G6xt7oUt8fbbtERwXs9bhFzdXOt1e1267sJgLUln6ndPeoC/mveFlBQcvCbGs7FOh5Ved/FMD3nEZHdm+Pjz7KSXSIe/9w9kaQBvIhISctLO357sGqrTFxIPqi2IjEC31hTIeKf/3paknazm7773ohIhelVzQFlpuaKOxpV9KMPekRayjZqxNu6F5xg/uspESmpiV/Jxld3l7T5fe99Pl9/MLOefwCAHFurAbyv/5xbRMy25HvKTU1HrS6HW8kgd21qOm67kkGELZZaq7iTbnrXuEH1FhHtHfWJ1Pj9wH6Tpdoqbnf8otT99jG1AeGahOgKAPWlqFFqxwB3VMOA+J383q5Gh9ts6z5e3XfK4Q6XOBxv17zebLbGbetXl2XtGGiWrlPnwuPMVptGT4J0U6ljlmZJ1kZAzxhAN6qpgdWX2Z+7dM9KMn8coGbIswywy7ZffXd7hjfMZG2jPo9I7W5TkicI4eD5wqjUR5UPDN3yhQsKbiVckd2CpyeO/cXb49eqIxDZWmOqvTSXplQBALAK1uge+PDecOvRlJG5pb27e2Ago+5vpv0HzCLi9mSwUT0DXo/+aH8xflefEyQsSn1RGX+w9NKDcUVE5P744qa28Be1pVr9DrxddrVjwNI16k7+xI3545HoXUSken84eu+Pu15R3I5We+LV98/ZWx1L4zTuoWcqX3/MLJptBPSMAQAgn7aWbRQRz6U7Q3FvhPfGp3LPPyciu8qSZra31phqRXpuRW2kV5P2iQUF2Rm9bjhx3nDG2+OX2pcs9zRPjCsr2SUi/rl7ObkjACBrazMDH4nfa9NlyeN7yqdn2n/A7FKU++M+0ZHDVQNyc/Xm9BP7fN6+U2qL+vTrjpQYqPF7JNMftx1gc7VZJHqlkccDyvgDEfUlNaQP39Db5XArImZbx/HFbLjP29XqcEvCTgPF7U7Y+Z+4ayG8rz9x04GiKGLt6G63mNQEucOtSHQJgZ6pfP2nXHHLjQxaXK2eMUBmclvKSz4f0EP/nztFUcxm84ouRsPc6LSI/gPbE9XsOF3ha/P7Gj64fvFXz6vJfLULfbr5Jy6MiFbVehS1zj+qil5N2rfsys3Z7GPT87UVJSJzHr94Lnnf8O/4qDkxza6WKsQXAgAAVtvaDODVsFRX3JylqBg4iaWAPBJlL3I7GpMn2s22bh1b2dVHFEszqxF87HaA8LOGxZX6xu+LmM3mqMcPakgfid894V0H0bXsJkuzzeyOnmZpocdj4t/wrgVrh3Np/Yv7+hPCZbOtO1LFbrK0H7W6HW5ZXJa+qcK/5QP7l5ZrsjQ5B5qiFqVnDAAAy5MyftZlo/1XO/rO3PH4fQ1nzi+9vHvH6ak7bf608298OtWAqtd2S8/IYvA8/9eRucSGfFnbevDQ1YMiIjI94fyLt23kzjYpCcXn4ZP0twMArLK1GcCrInXhUTRPbc/BIeqKq7XRpf1WfJybnNlsPXq8OeGkeS1q/B69QyB5BB9JbIevOXBAFFc4GveN35elBx2W9oGB9sU7+HwPHlwb94xfcbvjvzB1tXGPJcKPFGzN8U8fws8R4loNxP5y1GKByEMCnVOFL3Kd6qpO+rXpGQPkU35bc+UnV7nG6CyCWOZviq8aaZVtv/p2idN9p21kTkSkoqTlxefP1ojzg4Qu8dGm5xL3sCeq32WSEV+4F73aUT9X9fPRyqrsb1lGT3h7Ru44rVWaZ9ffmp4XoY8dAOTPWg7gdZa5r5TE7m8RMU3kwofHidl2XPdjhHAsHlNpH47gY5rRqz3xwt/Dg3FFxFrbVC2u8FcTn8aXpXL2bCV/khGbwtdRHZF2qnA4L4rb0eoWETFbbQdq98d843rGAACQ2tayjSJzHn9i8Dk/6pd0CXDdyqrszVX25uiXJnIzf9RxdNtyWj+fQC2VX5m5AQDLtzYD+NiEbhRTbPW0ZkI+Dc3y/OyT+EuHx7laG8c1D4hPEN7ir12JH9OMXo3qxx+ImMJnzm2WzdVmcY8/EJH4+D3m6zCbzVu2HKiu3b9//JTWlxRf3xBukJcLeqcyNTm7q6MazCtul+J2uWKODtQzBsCj7N3XQ2mT8Hk/wwx5V1ZSKz7P1NyYVMXs7lYT4BUl21bovqMPelLPr+5vTz/RYhX9fE0u6ufHPr+87dKcmM3/X4aFJSma7QEAVsPaDODDeVfdp71lQK061yrPz54pfGC86Dth3tuX8qFDzKfeXG1WSxE2j98PB+um6i3hRvTj0Q3oI/3eFnvLRfjGM/goOdiOkNFUJku709Iu4vP2X/NcCR85p7gdp6qXLtYzBsCjLHUMT/QOiZym7r/zx9HtZ6MPY3PfSXmEm27Td+vO3PFU7Lj3VnT7t3nnpz5JM7+Oc+xERGRbRYmMzN26dedWLurn1ZIEUf77ZyIxIXy4bX5iyYB6RDwAIN/W6DFykdPezvX70o7NSDh41tMnPiOW9g6riIjbkfZ4s3DjuY6BRN22+E9t2n/ALMqVa74H40okWLfUWkUZfxDTwE4WSwtszZasUuubq80Sd2pdtrKYymRpamp3OgcGujtsZhFRrlxL+M3rGQPgEfXu66HEQF3zRTyiNr66u0REenovHxudFxGR+aHPLzeMiEhJc82ys8rhU9buvNE3Maa+Mj3h/OBSm1+kYsdHB1PMv/Hpcgm3qU9JPUzOM5Kj+vmaHacrROR//JcPrg9Fbj02er2u1ycitS/tSHhAoO41yFnnPABAltZoAC+mpqNWEVFcp7q8yaI0n1ctRdfP23VObdSe0F5t+SzNNrNI+hA+Pu6OFn5uER2Zqtvgx/siBfQiaoB83+O5n3SexPvFHB6vKfkzE29XY2Njo13/sxR9U/n67Y2NjfHnuZss6sUqPWMAIEKN2Bf/l+/lYE3ZevD5i7tFZK6n95LhxHnDiUsNl+ZEpOXIoahubfPOD84bTpyv+3w+w+mrzh5RA2zvthPn1WPV2/wiUnL6V4lHssXYVlEi4fQYd5IAACAASURBVOZwKZWZmivUf1p+z3wR2Wh/y9IiIn5fw5nzhhPnDSfOb+v1eURqd1uuJj5xWOm9BgAAndZqAC9iae+2mUUUt6PVbu/q9/qWgkGfz9vfZW9sdbgUETHrKIf3+XzeLrs9fEy63rbymTE1HQ+H8KnqBlLF75oRvKXWKuJ2Rx0aL6bqLaK43UrsVv5w3tvVt/jEw+fttzc6kp94F7/+8DOTVnt/1BRddodbYjvm52aqSJjviBojPm94I4D6S9UzBgAAPTbWN7908SVT7eILFabTb79+Nlcp5Zrnr75taakoifxcUrvbcu/dQ5q93KNtPbijRcQz4htLMzBcRCAVpldz0nJPqs7+l+3/9+6SxS+ktsJ0+shLV+MPkBOJnDyfg70GAIBlWpt74FXh/mUOt6K4FYdbo6O52WrT6hOf4px2s7Vj5fZNm5qO2660uhTFdap/v+ZtIgekJ82bh3f/RzejVzv6SXS8GnkppgG9qemo1eVwS6Rfe5jZ1nHgikPrIPgElvYO632HW1FcjtaYb9ts7dDTnC/DqZa+rrgxUYP0jAEeUSdPnhSRzs7OfC8EKBwb6w8+X38w1QD7W6/bU81Qdfbd188me7Os6uxbVUnfTT6n2qDur9Pbo6J9jRttPXgolLD4+ubXQ83xL+pdsPyHF5oP/TrV5arwyfO/T7UXAACwKtZuBl5E1P5lA93dHTZrzAG8ZrPV1tHdPeBs13uemFm9ZMC5skFfOPUsiqtPq44+3H4+Vd17OOcsbo837pWobLupeotI4lHulvbuDpt18Xsym60d3QPOJos6Ol0NvTqDU/2yo+awdXRn863pmcrUFDdGY5CeMQAAFLB6645amWtzT+R7IUmM3mnza26MBwCsOkMoxC5BPBIGBwcPHz6c71Wsf4qixDxuw4ohA7+a+Bd71TyqX/VQ3/mGkZLTb6cvuc8lfd/2UN/5hhHTxXefL+AAfnBwUET4awCAdWCNZ+ABAADWvfpmS8vaTMKPXm8YkZYjhRy9A8B6QgAPAACQb1Vnj5hk5I4z3Xlyq2ve+alPdlty1uoPALBMa7mJHQAAwKOi5vnQu/leQ7y0Xf0AAKuLDDwAoOCdOG/I9xIAAABWHAE8AKCwqdE7MTwAAFj3KKEHgILU2dmpKEq+VwEAAIDVQwYeAFDAohPvJOEBAMD6RgAPAAAeWWOfX6/74LzhxHnDifOGD647R+cznWGo77zhxPUh7Tfnh/ou153Idv7R64YTlyN96SeOnbhc98H1Y5/fHUreqX5s9K6z73rdB+ePjWa34JjFOz84H7WAqBf71t5xdwDwiFjPAby3q7HR3u+Lec3X32W3N4bZu/q9viQX5+j+jYlLiB/Q5c3pXX0+b/RnbGy0a35M9d7J1wYABSAx5U4SHpkY6ju/7ZLP44/87Pe19V5KEfpqGL3eMJLsvXnnB5caRuY8iy/4fW29l+o+1xnDTxzr9cnuHfayxVfmPH5fz6U7DUmPi5/4Y++dtpGoT5TZgmOMfX69TWOejfYXTTLizexbAgDkyvoN4L1dDrdYjzaZol9qbHW5l/aMKm6XozXH8XMixXVqtcJkX7+9sbXVEf0ZRRTF7XK0EqsDABAjHMqWnD7yUujd10PvvnTxpRIR6em9rPMw9rHR64bepP91jQTA8fN7Ll3XM/9Qn7dHTBebq2JfLqmtEBl5oJ0/H33Qow7IasExpu++cWlO+62a5y/ulp5ePTl8AECurdcAXg3fO9otcS+JmG0d3QMDAwMD3R02s4i4HSse2iquvpV+SiDhxxOKiNls7ehWP+LAwMBAd3eH1SwiiquVGB7AepIs2U4SHrrMOz/1iUjLkUP2mo0iIrKx/uChi7tFZK4vbaH79ISz7/K2VMHw/F9H5pYx/933RqT2pR31Ce/sKi8R8V3QSoAP3fJJham5PLsFxyze+Zc7nuRv11t31IrvPb2lBACA3FmfAbyv/5xbzLZmS9xLItYOZ5NFTcqbLE3ODquIKFeurWBgazabRdyOlU70Lz6e6HY62y2mpboDk8nS7uy2qTH8ajxIAIBVQJSOZZr29flFxPRaTczL9dYdtSKeEd9Yqmvv1p3xto3MSYXp4tuWFu1B86Na82+rKBERjz9N6DvkvuORkuZw5B+jZpepVqTnVmIV/cSFEandbXo6ywUvCdcO7N5xOlkyv8zUXCGeS3dIwgPAaluXx8h5+1yKmG37o6rnfdeuKCJirbXEjLQ028xul3Llmq8putY+l7YcPX7gXKvL7eiqHWi3pB8v4vP2951zucNV8Gar7Whz5KFD0kuWHk9oDjQ1HbddaXUp7nP9zZa4Ib7+rlPhu5mttuPt8TP4vP19564sVeWbzdYDMSvydjU63GLtGGiWrlPnwgO1lu3zdp1yRO7Ucbx98zV7q0sx27pjVh17P7PZevR4e5qPD6yYAogSh/O9gDVpRX5xfNU58u7roXwvQURkes4jIrs3x6e4y0p2iXj8c/dEtqa6vqTlpR2/PVi1VSYuaA/YWFMh4vddGJX6qBj+nn9ORGorNCLzqLXdfW9EpML0apnWu2Wm5oo7npEHQ81VMYsffdAj0lK2UbQ3wKdd8OI817ddmhMxXWw2ff3BnSSDNr66u6TN73vv8/n6gyk/CwAgt9ZhAK8Gs+YD0fG7PBjXit9FTNVbRBRl/IGIZozo67e3ulIctGztSB+Vh6NnfSG8t8vucEffUHG7HO4r1g5niku9fS5F4koOEhfRvd9kiv+Q4312lzu6KUDrfYmOpxOWI6IobsXhHo//4PfP2Vujtt4rblfsoNhvUnE7Wu9brQnLTPi+FXVkyo8PLCqAeBt45KX/c5rhs5KsngiMTc+LdiCtBt7zX09LvWb8LCJl26++uz3dHdQQd66n93LNkeftNRtF5oc+V3fdm36fMugdG/V5RGp3m5I8QQgHz3GPBoZu+cIJ/1vZLVg1cazXJ1Jy+u3n62X+6+TjttaYai/NeUZ8Ywe3p3zSAQDIqfVXQq/m2uPid9/4fRExV29OGL652iwi98dXdHe4qem4TU8hva9fDZfNVltkF7u6g11JuVNf/XSypTplnjoxehdR3G4l0hRgca/8Up29t0tdTqRtQHiYiIj7XNx6FEUR62J7AatZRMTtiUzl6z/lUmRpqu4Oq1lxxz0aEG+Xuovfung/tVGBsvJbEAAAyK2tBw/dO2Kqlbm23kuGE+cNJy41XFKL2J9P3NkeTc3S7ypLGuRvrUmooleT9okFBRka6vP2iNS+9Lw92cOLRWUlu0TEP3dveXcEAGRm/WXg1Vx7mmBWN1OTc6ApJ/PoyMJH6vyj080mS7uzQxodbsXV523SvlT9yFqPJ9KKql83WdqPWt0Ot9wf94nFJCJej7qt/nh0KbwpvO0goWrBbOtutySZaumTNVkiI47b7scm25f2AUR//CZnt9hbXVrF/0CCnJfmktIHci71n1NFUcxm86otJqm50WmRtEFsGvN/vTUf3wrOP39her4+eXCubmUXKalJcXe1zj+qil5N2rfsqkp+jQ5qW/6KHR/pqorX3iMAAFhZ6y4DHw46MwxmlfEHK7OcJaamo1ZJmYVPsk9fxFJrFVmZMoHYBx1qOcLil2FpHxgYGAgH+D6fz+vt7+/qSranIMVU4aqI2BL/8BeySHOQiIhp/wHzSrcaBAAgWsr4WZd55weXIn3jXg+9+3ro3dfVhHyPrqPgNz6dagFVr+2WqF70asf7+IZ5mZm+W6cWz/9KZ0n8xqc1290DAFbU+svAi0jmCfissteZsrR3WN0Od9JccvJEuqXWKm530p36m6vNIik26ieX/nNHNZ7LfqokVRFa61ZcrY0uzUmSNyoAVs4a6bal6eTJkyLS2dmZ74WsqixqInLyS1wraWEUjtE7bX6Rih333lqKh7fWPH/1yHVDr89z6c7QwSSF9NNziXvYE9XvMsmIr+fWxNmaqnBH/WXVz4fPjdNVPB/r1vS8CH3sAGC1rLcAPrwdPHfz5aCJ3ZJwCO861b8/Sbv4ZRT/r0CAG/PpzWbzli0Hqmv37x8/lfI7yZIa5QMAsAq2lm0UmfP4E4NP9fi31Anw9MJN8hIb0dXsOF3ha0vdJE+Pms0t4usZeTDUXLVt+fXz4UP1xHPpkuFS3HtzbWfOt4m0HHn9LKXyAJB36y2ATyJ5s/ncbplPKyaE1xyxuANdP9P+A2aXorg93nZLilb1XY0Ot9naoftQtkjjOWtHd8wlvvGMVrdI1yeLP1QOABZl15LgxHnDWq6kQL6UldSKzzM1NyZVMTG2mgCvKNmWp3WF97enH1f12m7pGfFdGJ2vWX79/DKkaLYHAMi99RbAq5F64utqtXZiCJm8PX14vhw1sVsSFcIf1Vqj1lOGdBv79UTw6hxKBkn6cEm/rTku6s48VZ6kxj92ouQfHwBEZG3vaEDBUU9T99/54+j26MTykPtOyiPc9Apn+BNPWVNL61Nl+HWcYyciItsqSmRk7tatO7eWWz+f7Jy5eecHl9r8JaffPqRVVz//9dRybgkAyMq6a2KX5Fi4cCO0qCPSRGTxAPXYM+dWmqW9wyqiuE6du6+xxqiz1yLU2DtVmcBih7wkh835vF0OtaN8iqPidQqvJpOeetrffmSimEGJ59OJeLsaGxsbU5yjBzySOjs7bTZbvlcBFKyNr+4uEZGe3svHRtWWcvNDn19uGBGRkuaaZWeVaza3iIj/zrYPrg9Nh18bG71e1+sTkdqXdiSPt9XmcHOj00lHqNTD5Dwjueg/nw11r0HeMv8A8IhadwG8qXqLaHWVj4SHDnuXVw0Efd5+uxrVrm78LoshvBKXlI5aY78vvEhff5ddT+ytTimKq9Vu7/L6lmJdn7e/y97qiBwIl8EnDTeSd/V5I7P5vP32Roc71UXalj5Zf+TLD3+s6EHqUwjF1Wrvj7pleKD1KJX1AIAc2nrw+Yu7RWSuJ/qcdpGWI9EJ53nnB+cNJ87r6Bsfp+rs2ztqRcTvazhz3nDivOHE+W29Po+kP6dtW0WJhJvDpVRmaq5Q/2n5PfMzl/e9BgDwaFpvJfTJi+VNTcc7xlsdbsXtaI2OHK0d+dhzHT5MPe5VU5OzY9zucCtuV6s7uhe7WccqLe3dHXLK4VbiP2F4iow3l5uajlpdDrfETWe2dRy44tA4CD71XMdtV1pdSnSTebPVKu6YBveW9g7rfYdbUVyO1phW9GZrx1KvwHBrPXbLAwCWZ2N980sXK+68d8kX3nNeYTr9q4zbsCdVtv3q26Yh9/X3RuYi85e0vPj82XTp/a0Hd7Rc8vYklt/H2/jq7pI2/5xUmF5d9QBePXl++XsNAACZWX8BfDjsvHLN1xQX3pks7d0d1X3nXJGg0Wy1HW/PUwwYiWjjX7e0O7tr+2MXebS5SVffOZOl3TnQ7O3vO3fl/lJ632y2HtA7Q8JiYr4ws9l69Hi7xSTecRElw3Z7piZnd/XikXRma8fxdulrjH/QEPn4V9zK4j2zXT0AAOlsrD/4fP3BVAPsb71uTzVD1dl3Xz+b7M2yjfXNh+qbM11VuEHdX6e3Rz1N0LjR1oOHQgmLr29+PZTqjikXHCPFZw+fPP/7lKUEAIDcM4RC668nkNpvnQTtWuftanS4MzyJb+nSc9UZ/oIHBwcPHz6c6Z2QKY7LXk1826uGr3rV8FWrpu/Wnbnj2W0JNa/k5vasv+3R64ZeX+1LL10tlAB+cHBQRPhrAIB1YN3tgRdR69MTG9Yhb3z99sbGxsauuA6CaXrrp5rvnHv1jv4DAGC1lW3//W6RkTvOdK3s8mLolo/0OwDkx/oroRdZLKM/199sIQm/BoQP93M7umojR8ov9sXPooOg79oVsXUnTdurT9k1JfQNxIrge15NfNurhq961fBVi4jI9ufMR0aUtv9nuNH6H1fwNll829/cbxiRI4fKtvObAoDVty5L6EUkXJ+dVXk2cs/n7WrVaF+/qvscKKFfHZS/ria+7VXDV71q+KqjjV439M4nOYY9F7L5tuedH1xqK1/h2v6co4QewLqxLkvoRSR8rprGoeLIB5OlvbvDZl36W4LZbLV10KUAWIaTJ0+6XK704wAUrJrnQ++uWPSepY32t14vsOgdANaT9VlCr7K0Dwzkew1YZLI0tVua2vO9DAAAAAAoUOs3Aw8AAAAAwDpCAA8AAAAAQAFYzyX0a9XKt9fz9dtbXdqdYc1m64GjzU2Wldh7rt42qjGdz9vfd2681hn5pAkDAAAAAAB6kYFfbeHj0/JFUdwuR6t9VXr7efscLjcnzACryfDZ1ej/5Xs5KHQPnaPDdZF/nepGx4cCubxwbHr82BfDkX9dhzOZX0RkaPSq4YvxMfWH6a8MXwzXjX7l/GZ2LPmqhr4ZPzY6XPfZV0NJx8we++yqYXQ23c2TDAuM13129diaPLodALA+kIFfTUkOU1shWplun7f/lMOlKK5T/ftzngY3NTkHmpY1AEDWNMN19cXQC3WrvhysA7PHPrvbE/WzZ+rbhqmHF194pj4XFw6NDjdMRcfrAc9UoGFq9kTVf/y/9Kxu+quGKWnZWb11aYKAJxDwyMzohrqzmn3bp8cblBkREXky2axDozErz3iYsfr35d823P7qtfTfEgAA2SADv0p83v4u+ypG70mYLE3ODquIKK4+b57XAiBnUifbScUjC+EY1fizi8/VhV6oCz23/bRRRGYaFpPey7lw+quGqYCIsWXnL0IvRA8LvDvx35OnxxfNHrs9I+Xb4wN1o7FWpGdaO38+ND2jDkji4dDo1YaptLdOM6y+ZnuLzDSkz+EDAJANAvjV4Ou3tzpcbkXM1o7uDmueV2Op1ViBz9vfZW+MsHf1exOL7H3eLnvUGLu9K3aQr9/e2Nho7/eF/1F9XOF2NDY2NnZ5YweIt6tx8Z8TJ1HHR6/NvnTfLo21AY+ezs5Om80m+uJzYnhkJjD+3pSIbLr4XHW9UUREjKX257a3iEhg9q8pCt11XfjQeX9GRFp27j1btiF84eIw+e5CuhL0sW/Ge8R4+qnShHee3GUUmZrRegQwe2FKastLd2lOOD1+7Isv00bv+oaV/tZslKlxZybbAQAA0IkS+tVittrU5nFej74LUnSiExGRHLbB83bZHTGb1RW3y+G+Yu1wLt0hYTmKoiiO1qy78VlqreJ2K+MPRKIr+X3XrigiYq2NzKlxX7ej9X7M2gAAOTU2M+sRkfJNsXXgpb81G3uUQN/MQ7txwzIu/G40ICKbXosvdC99rVx6puTWw4ci2vOLiMjsH5WAGH/2qjHxrQ2vlRt7lJkL08/Ux00+PdMjxtObNowm/Id17JvhbUpARGrLt39UNrPt9oz2R9M3TES2biqtVb5t+2bWXpP4iAEAgGUhgF8Na2vvt9fjFhFz9Wb1R1+/Gr2brbbjzU0mk4j4vF2nHG7F7bBXh7fR+/pPuRQRs63jeKSDfXg7vftcf7MlYTe9qck50OTtanS4kz5oUCN4t8fbbll6Oz5+93a1uhQRs7XjeLt638htHV21K9jHH0uyydx+M7ECC0ESur9tkvDLtfL/Yq+dbgX3AgERaSmLjz+3bnhSJOAJfJcswNZ3YenZF+rOZru2sW/Ge0Rqy0u3ar27bVNprRLomZ49G7uGoekZkU1PG2VUc1LjptNbqu1lG2Q6aVieybDSZuO3nqlx51Oldo2nDAAAZI8Afs1aiajf5/P2nXK4RcR8YH84Dg+HzNEZbZOl3dkhjQ634urzNrVbRB6MK+pFS+fPmSzLXKBGBB8Xv/v6z7kT19bk7BZ7q0v7ycGjjPAMKHQr8ac4q4cCD78OiIixJjFI37ChVsQTeDgmmvFz1heqZi9MiUhx86YU6feHf50KiBiTjgkHzzNDNaVRVQCzF6bCdQEXEq7Y+tTe0FPJb5jhMBER2fBqubEtZakCAADZIYBfvxRXa6NL+y2z7XhTbPxeG5/MVsNruT/uE4tJNlebRRTFdaqr+nizxZSbsDkhgo+P369dUUTMtub4tZn2HzC7FOXKNV8TETwArBNqal02bEyZtVbL7598OukYNXiOqaJXZ24pKxVZpd5yaUsVAADIDgH8o8Vsth5Qt+KHhVPrkXr6KDGb1MMhsyhuR6tbRMRstR2o3R81UTbiInjthwnJn0MkbKB/xK1Q8S2JfWDVrJ0S+jQCD++JJE+kZ3Xh9FfblICI8cT/lvSMNxF1K7uIccO25EPU4Dmqil5N2iduuV9JasVBfCEAAADLRQC/Zi27iZ3WOfBJbKlON87U5Oyu7jp1zq2oS1LcLsXtckXvTs+CmtgPZ/kT4nf14QIAYI1JGT9nc+H0V3W3Z0SMLTv3/vp/6fi/fuOGVI8Pyja1yEzPYvAcmO0LJPbVW2HGDbtEdDatBQBAPwJ4iEQK5VMzWdqdlnYRn7f/mufKFTWUV9yOU9W6HxQkTBlVCy9JivkzeA6BlZBpSlBRFLPZvEKLQRz129ZZJVEw2d01iX+xV06ku7vx9HN77UZR/lfKwQ+/0zGl2s0+XEWvNsZP7Ku3Kr77OiD19LEDAOQOAfyatTqt68Ob2zWK0eOa1UctzNLUZGlqao80hF/OXvSlCH6/JMTvydcGQOTkyZMi0tnZme+FYP3Z8LRRJBAYfSgSF3w+fOiRFAnwjC8cGh1umFqK3nOlvmyTTM30TM+eLXsyD/XzAACsmMfyvQDkl2n/AbOIuD3euDfU+D1cXO/rtzc2NjZ2xQ4yWdSLl39/5cq1a+MJ+ffI2s71++IX19XY2NhoT3gdeCTpSa2TfkdGthmNIup57DHUBHitMek29UwufDg0erVhKiDGTRdf0Bu9b92Qcof8orJNLSIyNTOUl/r5JSma7QEAkA0C+EddJEp22Lv6fWpA7PP1d9nVw+bCHeCXBvV7F4Nmn1c9HD7NDvr74ynD7HAE73K5JaF+3tR01Coiiqs16r4+b3hx1qNU1gNhqeNzondkauum0loRjzI+FPPy7B+VlEe4ZXLh0OiXDVMixp/de+6ZDKLrDRtqRSTwcCzNuCdrjCLy3YVv8lQ/H3h4a7VvCQB4JFBC/8gzNTk7xu0Ot+J2tbqj272brR2Lm89NTcdtV1pdiuJytMa2hDdbO5L10oucPdfa6FJ3smvfP9zgXjQPs2vvsN53uBPvm+K2wKNJjdLj9sMTuiNL6mnqgZmGL+RizTP1RpHArHP0bo+IGEtfTZFV1nfh2DfDkei9OrNu9mpzuPRt8MMnsfdMSX7q59UtA3nL/AMA1i0CeIhY2p3dtf1951zucO9fs9UWc9ichNvQ9/eduxLpQ594JF08U9Nx2/ipxUmTDotE8Inxe9TaFu+b9rbAo4yIHTmywV6zffSLuz2BmYYvZqJe33QxOuQOjNd98a0nZge7ngvVhLxI4Nttn32rcfPvSkI1yXLmT9YYRQLpm8Nt3VRaqwTUjfdZ9sxfhrR7DQAAyA4B/KqztA8MtK/sLbLof2eyNLVbmlKvK92YxNuamtqd0RdoryvdcvWsDQCQW8bSs89tr/lmvG0qoL5QW/6zj2p0JMzTXqie5Z6lDfYtm9puz/TNPLQbk1byq8toNn7rCUhteWk2R9Yvi3ryfKq9BgAAZIcAHgAAaDGW2mtK7TUpBlRffaE64wvLngm98EyyKRVFMZtTblkPH/M+O/ZUVE97jTk32J+rs8dfXHr2hbqzqSZPtTa9w8Kd86pz2FcfAAAVTewAAEABKf2t2SiBb/84ne+FJDH0zbceMZ5+Ki8nzwMA1jkCeAAoSJ2dnTabLd+rAPJg61PVLSI998fT9aLPi9kLU6TfAQArhQAeAAAUltKzOzetzST80OjdHtl0MWkTPgAAloUAHgAAFJqyZy6Wr70kfGD8vSlp2ZnJyfYAAGSCJnYAAKDw1NfUhfK9hnjJuvoBAJAjZOABYJUYPrua7yUAAACggJGBXz98Pu+1vnNX3IoSfsFsth442txkMcUM83Y1OtxitnU7m0yJk6xpvn57q2tLx0C7Jd8rATKnRu+Gz66GXqjL91oAAABQkMjArw++fntja6vDtRS9i4iiuF2O1kZ7vy9/C8spU9NRq7gdXd58LwQAAAAAVh8B/Drg7WpsdSkiZrO1o7t7IKK7u8NqFhHF1bpuYnhLewchPApRdPE8hfQAAADIDgF8wfN2OdwiYrZ1O53tFtNSWbzJZGl3dtvUGL5vvYS8lmabWdzn1ssTCTyichLDnzx50uVyLX8erGsPnaPDdZ9dNXx21fDZ1brR8aFADi+cPRYZEPu/r4b03WNo9Krhi0gb+emvDF8M141+9ef/+V3yxvIPh74ZPzY6XJfqFrPHPrtqGJ3VfG9sevzYF8ORdQ5rfK7AeN1nV4+tvdPpAABQsQe+wPn6z7lFxNqRZEe7qem47UqrS3Gf62+2xA3x9XedcrkVERGz1Xa8PX4Gn7c/9Z56dTu9tWOgWbpOnQsPNFttCRvvfd6uU47InTqOt2++Zm91KfH78GPvZzZbjx5vtyR8KtP+A2aXy9XnbWIrPAoEKXfkyeyxz+72RP3smfq2YerhxRfSHnKm78LAw1vLWd30Vw1T0rKzeuvShAFPIOAR8U/L2TLNS8YblBkREXky2axDozErj31ruGEqOl4PeKYCDVOzp5/bazdGXjNW/77824bbX72W/lsCACAPCOALm7fPpYiYbc3JY1lT0/Hu/SZTfCA83mcPB+8iIorb1XpfouNpb5fd4VZiLlEUt+Jwj8c3kbt/zt4atfVecbtiB/n67a2uqDs5Wu9brQnLjB2l3s3Ret/a4YyP0037D5i1n0gAa1Cy6J1udlhp4VDW+LOLNdX1RpHArHP0bltgpuGLDfeeiwqbs77w4UOPiJRvD9WUZr662WO3Z6R8e3ygbjQ+Gwj0TM+eLdOYc2h6RozG2kDAoz3nw6HRLxumktxw+quG9YnQ0gAAIABJREFUqYCIsWXn02fLNogsfq5A2xdfPR0VrtfXbG+ZutswuimrzwUAwMqihL6g+cbvi4hsqU4ZyCZG7yKK262YbR3dAwMDA4t75Zfq7L1dDrciEhkxEB4mIonl64qiiDU8LjyVuD2RqXz9p1yKLE3V3WE1K+64RwPi7VJ38VsX79fdYTOLKFr73U37D5hFlCvXKKNHYSMzjxUUGH9vSkQ2XXyuul5NLxtL7c9tbxGRwOxfUxTS675waHpGRGqNSZPhKYx9M94jxtNPJUbITz7zE5GpGa0K+dkLU1JbXrpLc8Lp8WNfJI/e5aHz/oyItOzcG47eJepzycyFmJr50t+ajTI17tS73QAAgNVDAF/QHowrImKu3pz5pWZbtzNc6G6ytB+1iojcHw+HxF6Puq3+eHQpvMnSrG6oH3+QMFWk1D1hKt+1K4qoJf6LNztuM8dOsLQPYKlk3mRpUjfwa+x3N1Vv0VoHsOYQoiNfxmZmPSJSvim2Drz0t2ajSKBv5uGyL3z4dUBEjM2bNkjGZv+oBMRY+qox8a0NvzQWJ0TUIiIyPdOT5HZj3wxvu/1tT0Bqy7ff27lJ647fjQZEZNNr8ZX5pa+Vi4jcehjzhWzdVForgbZvtDfSAwCQR5TQP6pis/abq80iijL+QMQkIpb2gYH2yHs+n+/Bg2vjnvErCYnztFOp8Xtcib+p6ajV5XAv/qw5SCRSLK9cueZrii2WV+/h9njbLet7H3yhhn/fTOR7BQVjWb/igy+JyH8t0H9JClHCv9hreRPEvUBARFoSCtG3bnhSJOAJfCeiHXjrvvC70YCIsfTph+PHRr/tCYiI1Bo3/b7mmXqNsDzG2DfjPSK15aWaZfzmDU/W/o/5xCr6oekZkU1PG2VUc1LjptNbqu1lG2R6Ruvt0rMv1J1Ns67o2Uqbjd96psadT5Xa030cAABWEwF8QVMD2WyuTJ+1j2o8l/1UaolAQom/1roVV2ujdkPtxecKi0zVW7L83CulUCNtAMuwcn/wl/1oIJwer0kM0jdsqBXxBB6OiWb8rPtCtYNd4NuG20tDPIGZhi9mWnbWabegi9zir1OBVKn7nzzZbJz3TM0M1ZRGVQHMXpgK1wVcSLhi61N7Q0+luGMKsxemRGsxG14tN7Ypgb6Zh3ZjFiUGAACsFEro14EVqCX39dtbF6N3s9lstdpsHd3d8bXvuaFG+VlYLPkHAKwutYOdSG359nsv1IVeqAs994vT5UYR6bk9nHL3uFrN/uTTSTPbxa+WG+Oq6NWkfWJdwDKp00p5dWKafeuGJ0XEE/gut3cEAGCZyMAXtHCNeZpacm9Xo8NttnZoHcqmKdJ4ztrRHXOJbzy7Zd4f90naW8cfKldYVqiSlsQ+sJat5RL6NAIP74mkaESf9sKxh9+JiJRvv7rYqt24wV6z92m52jCVMnE9PdMjIsYN25LfRC3Xj6qiV5P2iTvYl2f6q21KQLR76UUqDuILAQAAyDMy8IVNbcge1fRdg9qRTomrQk8l3BvP1hwXdWeeKt9crZmzj51IHZRFHUGa7vsAAG0p42c9F259am/ohbrEg9bqyzaJiGdqdizdPKkeH5RtapGoXvSB2b5AYl+95Zn+qu72jIixZede7V3uxg2a7e4BAMgvMvAFLtwQzu2wV2smsH3eLofaUT7FUfE6qU8CdCbUw8tTSwRcfd6mqOPcIxPFDtI42d3b1ehwa+Tmw8fnrX+FmN9TFMVsXpG9FgUku9KJLH7dfNurZo1+1dNfGW7H92xLtwV9hUW2yifL8IdT92mUvlYuPVMzF6afqS8LN8bPYf382DfD4dz7c0mi9yXffR2QtG35AABYNWTgC56lvcMqIoqr1W7v8vqWdoX7vP1d9lZH5EC4DJLV4ZS4q88bmc3n7bc3OtypLtIWKRFw2MOHwfm8Xfb4iUxNRyMfoT/qluGB1qMJa1cz+Nba9d2CHgUq640P7JhA7mx42igigdHE0+LUvetJE+BZXxgr6wx/hJrJ75mezXn9/NCo/ugdAIA1hwz8OmBp7+6QUw63orgdrYlBduabyyPnvMVNZ7Z1HLjicCmJXeFTznXcdqXVpUQ3mTdbrRJ7JJ2lvcN63+FWFJejNaYVvdna0Z4QpqsJ+PSN9IF8KMS6CRSqsmdCLzyj+c42o1EkcOvhw7jj4tQEeK3xyWRT6rvwofOLL9sCWtn+dHG+ur899ccSUavoZ3qmZoae2pC7+vmHQ6NfNkyJGDddfO4ZfROmaLYHAEAekIFfF0yWdudAd4fNGlPiaTZbbR3dA9m0hrO0d3fYrItzmc3Wju4BZ5OleotIpt3fTU3O7o7FuczWjm5nbeIZcJZ2p/oBYlfvTAzfI+fGH9jPDngA0LZ1U2mtiEcZH4p5efaPSsoj3PReqCbq1Qx5tIfO+zOSutx9w4ZaEQk8TLNJXp6sMYrIdxe+yVn9fCR6/9k9PdG7ek4eAABrDBn49cNkaWq3NKUdZmkfGGhPuLbJORB7qTpb/MDYi3VOFX7AEDVSbbkX34NO+5YJ1Phdo7AeABBhLG02fusJzDR8IRdrnqk3igRmnaN3e0TEWPpqiqyyvgvrn/pZ7dS3nqm7dbL9oxr1ZPjZY6N3ewIixp/9NkW5u3HDrpSb5CPCJ7H3TElO6ufHvhmORO/VunYBqKUEue2cBwDAshHAYyX5+u2tLkWsHQPRmXS1iV2WJfDePpeSk558ALCebbDXbB/94m5PYKbhi+hGd5suRkewgfG6L771xGwI13ehsfoj8+w2JeCZurttSmKG1aSOkJ+sMYoE0jeH27qptFYJqAX5y9xRH6kgEAl8u+2zbzXeL98e11E/7V4DAADyghJ6rCSTWnPvdnRFN6dTG+tlVwLv9bhJvwMiIidPnnS5XOnH4ZFlLD373PbT5UtRcm35z+69oKN6XN+FW5/aG3pue4txcZixtnz7vReeSdezfYN9yyaRQN9MYqO8+GU0G9W7l2ZzZH009fD5DKid81LtNQAAIC8MoVAo32vAeubzdrVqtK/PvLOeiITPlYvL5+s1ODh4+PDhzK9DZtboaVvr0cmTJ0Wks7Mz3wt5JPAvdk7NHvvsbk+SavY18VWrhQkJafn1Z01826ticHBQRPhrAIB1gAw8VpYp3A8vvjldNil0X/85t2i1pQcAFJDS35qNEvj2j9P5XkgSQ9986xHj6afWefQOAChE7IHHitPZnE7HRBr98QAABWfrU9Utyt2e++O/LdPXUm5VzV6YEimv5pR4AMAaRAYeAACsstKzOzetzST80OjdHtl0cb0XzwMAChQBPAAAWHVlz1wsl5774+kOhF9dgfH3pqRlp45WfwAA5AMl9AAAIA/qa+rWXB9dY/XVF6rzvQgAAJIiAw8AAAAAQAEgAw8ABamzs1NRlHyvAgAAAKuHDDwAAAAAAAWADDwAoID9y4mYH//zu3laB9awB30yOyLfiYjIk7ul2ir/VJbZDPdOyOxu+c/NWu9Ny72/yKw//FOm8/9bn3w9JT9/S54UkVH5l0/lyXIprZDSg/Jksks+l1m/PByR6nflnzJf8L0TMrv0kzmycHl6cbZp+ccZ2XBEttXo/RQAgFVDBh4AUJD+5UR89J7sRTzK7p2QB5HoXUS+G5Gvz8i/ZTLDv/VFR7yxpuUfZ5ai98X5H+g8Hm9Uvh6R0hejYnW/fDciDy7Jg9Hkl1xaeh6RxYIfpl1VmVTvltnezL4l6DXmrDPU1dUdO3bMOTSU9hCGsbEh57Fjx+rq6gzHhlZwRQaDYXk3GDpmMBgMhjpn2o8UHqmbjimBRwsZeABA4Ukdpf/LCVLxEFkMZSvk6V/JP5WJTMuDv8gDv3z9QSTprWOGr0eSvvvgL/Kd1vwP/iKlOua/1yuyOyHRXSFP+mX2lnYC/N9uhQckC+BTL1im5TsRiSTnFUUxm82Jo/6pWUpH5Ou+JEUHWC6Px+PxeKSnp+/0vav2rckHDv1xW0NP+J93rcrSAKx5ZOABAAVGT46dPDxkWsZHRESefitS014mm9+SUhHxy2y6JPl3o3LvgzTBsJp7z3L+z2VWZLNV460NFf8/e/cb28Z95ov+y8i3ObKQ3IsoktaW3JYHpDZRJDvbolU6ROEq9baHtGu4uIYK94WMPShIGAhMGoXTBexCFWwDJzV2TRoBDA6Ke2C9iLGqgRquQp5m3ahBwEmUIFsnkpVUJJZJLNlHkmWc40DWadcq74uZIYfkzHD4R/wjfj9v2pAz8/vNSG30zPP8nh8wo58AX51B6wC2lzZhOf4HWrsKzA1Azz5gxnIpAZVImnjdLL0cvSaafEtEzYkBPBEREW1B63NKtjlnoXjPPgBYNapRl899Cx9eweoSWgew54jBQSv615fD4/VCoe/CDaAL7Xqr5dsHDGY4h1WgXS8zb2nCwMNlwOAKOVr70AosTBU+kkojCAIKRPBy/C4fuHW4w6k88aB8j95I/nemJQpEzYgl9ERERaub7K59qfAxzauiPyY+6uLUwxKG9SUAaM8rPG7tyHxrpgs9L6KnDzAK9TvQCqzP4P5wVgwvX7nVtI+dnH5vHdAvs2/tQ+sNnSp6OX++vcOgfr7ghOW5dWF7pvGe/UEXdv1Ir+teB9q7sDCDhSH0FNnzj6zoHx6GJEnSxOsJv36IKsfv3uHhWUmq8uSIqI4xgCeiZlE3UTfR1lfG/9x03pWU9jpAzjbrBNJy4L2MdRguU2/dixf2FhpADnGXMP9q1hr4VQADBYLe1RnAJBOuBs85rwZWZ5SEf36POksTljvYLWH+Suaz9SXMX0S7Xs/59gEsLGF1Dj0Fr0wl6N0/LARMInglfj+0H7OBqk+OiOoXS+iJiIiIStHzEnoHgCXMX8S7P8e7F7EgF7EX6v0mZ+m3Gwf5+VX0ctI+v6CgCCuZvfT2nMELZ9D1/y72yANd0VnubrVUgUrk2D9sUkWvxu9u02skoiGfy6Vp2e7yhUx622cf7nL5CvXBL/L6m0jtla/XlF5tbK/00dd2xE9EQ77M/It5OrW8WSJTzMATUbOoYE0vk/lE5kr+n5tRX/TKWzLLwFu1gtXl3M/Wl7G+YlpCP6f0xjcZXT5dW0VfIGlvgbIsX/t+4f/+S88wtgPzM3qZdoM1AlQpDpMcvCZ+nzc4PRFyOQM5xfWSJEoeccIbvBzOvWL+4ZIkepyiN+gt9voBwRuJhc1fLVSao7cfkOT3HTlPKzE/C0DnbUc85PJk3YEkBjxiQNDp/V9fN0tkihl4IiIiaj6m8bMl6ibw6YT2C2cyCfnC/ds7TSfQh3ZoetHLHe/zGuYVpXUvXjijszPcU/0AsJ6/t3yHfrt7qhjjHLzSv67PaXRqJuAUvJF4XOkFF494BQCSGHDm7Ooe9WkOV1vHRbwCIAZEnSX26esL3mD6BM0AHtem7UtvwH1IftGQ97QSr09IQH78LgU8AQmCN5h+PPLkIeU+nfq7WSIzzMATERWtHhp0jY2NARgdHa31RGrAYgVEBX9M1UsLU+O4P4V1oHUf9mgS108NoxeYn8HCFHoMCukLNqiXtQ9gdQarc3iqT+moX1b9vAk5025ckvBwRa/LHVWAUQ5eid+H9zsA3Rru6HklHM9KJjsc7nAs3udyBiSIHt+hlJo4ToTOijqHZ47OkQgdlT/MST5rBpDEs6GT7mp2iHcf8kIUAWkuDmTGNYrfAeTM3+EOxyKweURAO/m6vFkiE8zAExER0Ra0vRPQjZblpeDmCXALjLZke2oIrQCWDXrFWyYnxldngUrUzxdWfkkCFU8/B6+N3/Vk4vHL+UGlw39Z3pRNPKsuF1fDfe/pvMMd/tP5FfTpmDiiVzquDiAFzlc3L63m4MVrmnHN4ned+bvDES+gnXyd3iyRMQbwRETUYKyk1uuhSoJqS96P/WFeAC+H9PK3NWG+w1xGuoq+EvXzABZexbs/Rzx/k7lCbzRMmu1RuRy9/UBOBF8ofkd8Ts6Z9/fqHqFcU05Vw2SNOIBMWJxhmtPWDjA7X90WbzoRvGn8bnq/yuTr9maJDDGAJyKixmMenzN6J8i7qQPrN9Rl5KqFG0Alstlyhn81Lx6WS+vNMvwdVlP08luG1anK1M8rE57N/XzhTUD3+vK2c7S5lHhSE8HL8bZJ/K4G5IZL5J19AoB0zKnG+wbUo9PU40WPzYBHBJB5Q1A1eRG8Wfht0kEASE++fm+WyAgDeCKihjQ6OjoyMlLrWdSS3DPMyofUpDrQ3gUA86/ivpyHX8HCq0oH+Pays8pK77cb+HAiE4rfn8D8DAD0DJlNbDuUNvjmlM3kKlQ/r9T2z2gm/L/b4q9iYQnoQk/+9eXMfNmZfzKXG8HLMalJ/J5mkIDPJI2zFQhoG0JOBG+aPjd6PHkvLIgaDJvYERFRA2O4TiZ6foT1i1hdwvzFrM97X9Kkx1fw4UWsAz3H0VNUVN+HPfvw4Q2sz+DDmaxvWvcVuFRrF7BUuDlcax9ab2AdFVqg3oHe3Al3yv/R+yOd69d8rUGzUJqzKZ3srMfvmJ1PwK13mJqiz5bT/K0wbyRVd9unqZ3s5HtX0uf65e9Gj0e/IKEeb5ZIHzPwREREtEV1wHkcPQOZD+Qt3yqVUm7diz3HlTy/8kkXeo9n9aXX1fMioFd+n0stImgdqEyHuda9eCFrwn9RHojee4RqdM4jIJODn4tby7/nrnHPk7NGvkDKOS+gzanAry/aggW5WYDx8nVTSkFCXd8skS4G8ERERLR1daBnWFlb8cIZ7BnOi4Q7lF3cDXPmffrbp8taO+B8SXP9l6ztuNaH9vyt1+WBXsqaYc9LeOFM7hsB5xm8YPIawnTC0Ey4678u6jwQmdo5r7iqBCqJEpSK16JRS/l3NejMaseeocS16Zp5pdW9weH56fr0C4L8/emVU0Ium81ms7lCNQh6MxF8gfjdYPrKWeozru+bJdLDAJ6IiIio2nr2AUtYKJiErxG5FZ/ZSn6qIDWCP3t2QoLJ4nZFeu+3zE5xGeoec5pN49IRvMeXG8KnN0HPms5JeSM6KXBUL2o12ZWuGtIR/NlZwCz/rjf9qM+TFb/X+80S6WAAT0RERFRtrXvRDqy+We528ZtkdYbp92pSg1JJgqWS8EzU6XT5ogkl8Ewkoj6XUw44heDJzFUye8N7XL5QVD08c3SO9PFSwKk5AUhEQy6lLXvWAFVl/WFJAadLc7shn0ud++VMOF7fN0uUjwE8ERERUQ04j9RpEv7+BFaBXqMifNoEmnXqlpZ0O/yxuBJ2ih6nU97wzOn0iBIAwRuMx7ITxg5/LOIVAEhiwKMe7hElCN5gUGeJvPb66RNsNqdHfT2QO0A1abauN3lYgtcrAJLmdgPy09F7OPV7s0R5GMATERER1UIfegfqLwm/gtszaD/C3eOqSq1yL6Ilm8MfS8UjQa+gib8FwRuJx2NhvXjTHY7F4xHN4YLgjcRj4f0Fr589QDAST9U4oE1H8KYPq+9kLB4JejOzN5l7Hd8sUS5bKpWq9RyIqmFycvLAgQO1nsXWl0wm7XZ7rWfRFMbGxgCMjo7WeiJNgb/YVcNHXU3N87QnJycB8M+ALSMRcjkDksHeb1GfzSMycU5bFzPwREREhb3781rPgIiIAHWzvRL3jyNqdAzgiYiIClj6/+xgDE9EVA8Yv1NzYwBPRERERESNIBGVd75jY3hqWgzgiYiIzGgT70zCExHVRCLk0vSG577s1Ly21XoCRERERFvNwgRWZ5T28q0D2DWEpyzsqb4+h4U3sbqk/KPRifGfY1Xv9N4zllrH35/A/DL2vAQAmMO7b6K1E+1daN+LVqNT3sLqEh7OYJfxEPGfY3UALxhsPnd/ArfVB4IutL8IZ5/m6xV8eBHbj2R/SKTh6O0H5H3dvJHLOs3riJoEA3giIiJD+Sn3d3+OF87UYirUOHIC7PUZzM8Ujq7vT2B+JusT+cSe4+jRxvAreFjO5OYwP4P2I5pYfQnrS1iYwXqHQfw8h/kbBa4qbx2vbwXxi9nfLmH1Ch4OYE862u/ArgHMX0G7tXcQ1Izc4VQqXMHjiBoUA3giIiKiilFC2S70/ghPdQArWPgXLCxh/lXseckwxS3H1QDa01lo9cSFi9iuDWtXsA7AONdtLn4FGMgL1LvQuoTVWf0A/v6scoDRfvX5rx60Fv4l+4EA99/C/A2sz2BhKPNu4qlhtM9gfqLE+yIiahJcA09E1JBGR0dHRkZqPYstzmjFO1fCk6EV3J4BgN6X1NL3DvS8hHYAS1hdMTxv4U1AG71rTwRW5zJH3p8FgNauUma3/hZWgZ4hna+2dwEzuK931uoMWgewXfeCc4i/aha9Yw4LS4D2gQBP7cWefQCwMJV1bM8+YAYLxk+JiIgYwBMREelglE4lWJ9T0uM5deA9+4DsODz3xCUAaM9LgLcPAMBDTUz7cFn/SCsWbgBdaNdbjS8PpDPDOawaDLf+Fj68gtUltA5gzxGDEdUXEzkPpHUvXjiTm2xv7UNrXlRPRERaLKEnIqq9UmNF+1LhY2hTMLzfNCX+VtdJYwIlDu/P/by1I/OtLucZOK0P0YXtK4j/i9LurrULu35UuEmenH5vHdAv42/tQ+sNnSp6OeG/vcOgfr4LPS+ipw8weDdh9GJCXwfau7CQXVpPRERaDOCJiErB+I2orlT8f5KlvRGQ0+Ot+cFnB1qB9WWsw3gZvJ5VeWF8OgCWO9gtYf5K5pj1JcxfzC6/t3KpvBnKwfP94axs+eqMUlCQ36OudS9e2Gs6e3m2XWgF1ucw/6b6CiMd9udpH8DCElbn0GN+ZSKiZsUAnoiIiKgeyTlzDGjS0SuZrel6h9EKYAULU1iYweoVtB43S1zLwfN24wPSwfNTamgtTyC/oKBYqxNY0K6TX8LCFazuw568KL1gqQIRUZNjAE9EVIrK1usyn09UpjopoS9gqZgM/Bw+vAFk95xblxfDZ2/A1jOM7cD8jGniek5pBW8yuhw8a6voCyTtC5JfNyxhYUnzxkHtWr9+Awt9eW8c5FKFvEIAIiKSsYkdERERUVWYxs9Z5vDhFQBoP5IV4ur2fgPwVD8ArM8Y7vSm6DSdQB/aoelFv4LVJZ2GfCVo3Yc9w5mhnxpG7wCg26+uQ7/dPRERyZiBJyKqvdKSh8lk0m63V3ouza6EaojGyP02CP5WQ+7uLufeTUvis8iJa+MM/7q1vdnaB7A6o1TRyx31y6qfl2ell8N/agitM2ZNAR6uFG7LR0TUhJiBJyJqSGNjY+Pj47WeBRFl2d4J6EbLcjG5eQIcAHB/ovjoPc16ht+AnMlfnQXKr5/XMFx4v1SoZICIiLIxgCciIlKU1oyALQworbULyN62XSaH9PK3JuTF4ehC7xn96H3hVbz7c8Tz92wr9IJApzG+rnQVfUXq5zvQbvBAlAkbv3EwabZHRNTMWEJPRESkMCqGZ103WSTvpr5+A/f3ZoW+CzeAQtnsdPS+5yXjsLYTWNLZrX3hTcC83N3yPnatXcASVqfKrp/XTHhhCj3Z6/bl7eV1NqWXd54jIiIDzMATERERVYiac55/FffltPMKFl5VOsC3m+zx9lbh6B3y0nEAM/hwQi0+X0H8VSwsAV36O6unJ7YdlkrW2weAytXPayd8X83DK68qdK8vZ+Yr0TmPiGhLYgaeiIiIqGJ6foT1i1hdwvzFrM97tZH5Cj68iHXNQnc5RY8lfKi7ImNA7Tzfgd59+PAG1mfw4UzWIb0/spRaL9gcTikiQAVW1ANAB/YcwYdXsD6jBO1pOQ32ZRbXGhARNS1m4ImIiIgqpwPO4+gZyHzQOoA9Z0xTyvIm7da07sULx5U8f9b1Cy0a73kRAFbz18/nUIsIdOrbS9OHPcfRo7laaxd6j+euApBVsHMeEdGWxAw8ERERUUV1oGc4d9V3zgF7tA0X+orcjLADzpfgLHZWfWgHVmewvlcTmesN3fMSevLOdp4xHdH8Fgo+EJnaOa/o9vtNw2azAUilUrWeCBHVDDPwRERERE2hZx+whIWCSfgauT+FdaBnqNbzICKqY8zAExE1pNHR0WQyWetZEFEjad2L9htYfRM9fRUqj6+o1Rmm34mICmAGnoiIiKhZOI/UaRL+/gRWgd6CZfZERM2NATwRERFR0+hD7wBW3yy8n1xVreD2DNqPcPc4IqICWEJPRERE1ESeGsYLtZ5DrpyufkREZIAZeCIiIiIiIqIGwACeiIiIiIiIqAEwgCciIiIiIiJqAAzgiYiIiIiIiBoAA3giooY0NjY2Pj5e61kQERERUfUwgCciIiIiqnc2my39X9L/vVqiPpvNZrO5QgnTA3zRio6aSERDPpfLluZy+UJRoylUaMxoyOeq2H1symOhJscAnoiIiIiofulG7LUI4yEFjhqG8BWWCLlsTqcnIEqSZnxJDHicJu8RyhY97wmIUuHjiGqGATwRERERUZ0yj9KrHsNLgfNVSCdHfTZnQAIEwRuJx1OqeDziFQBIAecmxvBE9Y0BPBERERFRPbISn1cxhhcEARA9m10RHvV5RABCMB6Lhd0OR/oLh8MdjsWDcgxfjRcJRHWIATwRERERERXUf/pysLgQPhEN+TJr2C2tYE+EzooAvJGY36H3vcN/OSgAEM/mJOELjZVej56IZhbWaw5LhFw2m0cEANGTWboe9cmL/xNR9eouX2bkYm9QO7bN5nK5fJu8pp+2HgbwRERERER1x3pqvXpJeCV6thbCR30uZ9aKckkMeJwFOsRFzwckQAiedJtNIh5PpbICfMtjzZ51OT2ZhfWSGPA4LdzM3PmjnvTV+/Y7ihtUkQhljQ1IkiR6nGxyR0VhAE9ERERERJZYDeETIZdHlADBG1RXscsr2CXRY7KAPTE/CwD9vbrZ9/QkHFlfFzOWJEnwRuKagwDxWhSAwx9LpSJeAPBGUqlUKpx5hyCJoiQElWt0bvOhAAAgAElEQVTLbw6KvsFE6Kj8biKSXtUfj+gXExCZYABPRNSQRkdHR0ZGaj0LIiJqNpZC+MTrExIAbyQW9qvRtsMdjkW8MF3AHp+TAAh9ziImVNxYQjAedjvUg057AWB2vmAALQQvZ5X0F3+Dyq0N73enr+Nw+2OZVwJEljCAJyIiIiIiyxz+016YhvBqeHsotxDefchqxGxZkWNlJ/edfQIAaS5eYBBheH920r/4G1SGChz1RRNMuFPpGMATEREREVER3OGIFya138aJdDnANYyY5Si3KMWNVVxyv0KDAgAc+4cFAJBEj9OptLyz0NSPKAcDeCIiIiKiupNKpSp+ZOXIIbwUOGqyfLvASnZjhTPilRurnMsXN6jDH4tHvEL6DYUkBgIep83GTvRUFAbwRERERERUpMIhfAmF8kqaWm4rZ0je2i0r7q1kUb5lRQ/qcIdjMbl7XTAdykuix+w1CFE2BvBERERERPXISmq9Ful3hXEIb7y0PHpNhFkhu5UIXr6GBDjKG6sMZQ7qcPv94Vgs3YdemnidETxZxACeiIiIiKhOmcfnNYzeAWhC+LOzWZ8bhuFyeGtWe57ukGew2Vwi6vOI0GwVX8ZYpSt+0ETIZbPZcvd8d7iVlfFEVjGAJyIiIiKqX/Ke4VY+rAElhJek7I/VANfj8oWUnuuJRMjnyo69zS4JKeB0ubI6tieiIZ/LqVwis6tbOWPps1AaX/SgmRM0nesSUXlz+M1ewk9bCQN4IqKGNDY2Nj4+XutZEBFRlaTD9XoJ3VXuk0GdHLLDH4t4BUASA3LPdZvTGRAlQPBGCm577g7H5ZPTHdvlK3gCogRACMazLlHWWNnUvd6cNpvNoASg1EEd/styuXzA49TckXxGuPi3DNSsGMATEREREVGp1Mg0lzsci0eC3sxXgjcYiccsxaoOdziWikeCXkHQXFoQvMFIPKUTH5czVta4/svaq5grdlCHXz5ec0KJ06RmZqurF3hEm2dycvLAgQO1nsXWl0wm7XZ7rWfRFMbGxgCMjo7WeiJNgb/YVcNHXU3N87QnJycBbIE/A2w2G2q/7p2IaokZeCIiIiIiIqIGwACeiIiIiIiIqAEwgCciIiIiIiJqAAzgiYiIiIiIiBoAA3giIiIiIiKiBrCt1hMgIqJSjI6OJpPJWs+CiIiIiKqHGXgiIiIiIiKiBsAAnoiIiIiIiKgBsISeiIiIiKgBpFKpWk+BiGqMGXgiIiIiIiKiBsAAnoiIiIiIiKgBMIAnIiIiIiIiagAM4ImIiIiIiIgaAAN4IqKGNDY2Nj4+XutZEBEREVH1MIAnIiIiIiIiagAM4ImIiIiIiIgaAAN4IiIiIiIiogbAAJ6IiIiIqAHYbDabzVbrWRBRLTGAJyIiIiIiImoADOCJiIiIiIiIGgADeCIiIiIiIqIGsK3WEyAiolKMjo4mk8laz4KIiIiIqocZeCIiIiIiIqIGwACeiIiIiIiIqAEwgCciIiIiIiJqAAzgiYiIiIgaBreCJ2pmDOCJiIiIiIiIGgADeCIiIiKieqdNvDMJT9S0GMATERERETWY6sXwUZ/NZrP5oiZfGn6vOTcRctlsNlcooX6XiIZ8Ls1p8rGaA4qWSERDPpfLluZy+ULR0q9nacycuyiP6bMmAsAAnoioQY2NjY2Pj9d6FkREVA21TLm7D3kBiNf0osroNVH5b7rfy18LfU69U897AqJUsVkmQi6b0+kJiJLmmpIkBjzOsl4KFFDhuyAqjAE8EREREVHjqVZU7+wTAMzO50fBSoAuGHyfmJ8FIAzvdwBw+GOpVCrmd2zCDKM+mzMgAYLgjcTjKVU8HvEKAKSAcxNjeKLqYgBPRERERFS/ar3i3bF/WACkuXjuF0r8Pnx6WACkiddzYuTE6xNSOn7fRFGfRwQgBOOxWNjtyIzmcLjDsXhQjuHPsy6dtgYG8EREREREdco8eq9ObC9H8HlF8mr8vt+9Xy+Cz4nfNWvgEyGXzeYRAUD06Cz6ToR86kJ2l69Q6jwROisC8EYMkvsO/+WgAEA8m3OlRDQzjM2Wv1o+vR49Ec0srNccZnAXUZ98m4moenXtPRQaNO/uotpF/S6Xy7fJa/qp/jGAJyIiIiJqVNWI4R29/cgrktcUyOvm6ONzEoD+3iLz73PnXc7MsnJJLFD+Hj0fkAAheNJtPHv/5Xg8p3o/6nM5s1avS2LA49TpRjd71uX0ZBbWS2LA47TQZG7u/FFP+up9yjsMy4MqEqGssQFJkkSPk03umhwDeCIiIiKielTr4vk09yFvbopdTrArAboc4Wfl6OX8vPeQTmDt8MdSqYgXALyRVCqVCmcOkkRREoKReCqVSqWXsBuXv8tvEQq9JnA4sr5OhFweUQIEb1BdMS8PJYme3LcFkiTBK09HnY9yn4XvQrm2/OagmEGVWR6V301E0qv64xH9YgJqKgzgiYiIiIgaWBXifDmC16TYlfhdDdDlVvWaHL0cWevG7+aEYDzmdzsAwOEOn/YC+g30ZHKaX7/PvRF16pFY2K9G9g53OBbxQudtgRCMh+XpWJmP5rTLWSX9xQ2qubXh/e70dRxufyzzSoCaFAN4IiIiIqK6UzfpdwBKK/pMij0nfle+z+To5e9LiN9zkulyB3ydBnqly5u6Sn4JkRudlzaf3NZ9RQ6qGSpw1BdNMOFOGQzgiYga0ujo6MjISK1nQUREdWHTo315mbsaZ+bHo46sRnZKA7uiEuOyIs+Ro9yiGCft5WA6Ozov5R7KHhSA+kQBSfQ4nUrLu0I976gZMIAnIiIiIqovJQTkmxzDO/YPC+kAXY5Hs/LJ8jJ4JRCNz1VlAzlVCRn6opvrVeLyxQ3q8MfiEa+QfkMhiYGAx2mzsRN9k2MAT0REREREBTh6+9VQWbdBnZxKFq9Fle+rEr8raeq8Le6yyVu7ZcW9FpaxV17Rgzrc4VhM7l4XTIfykug5yi52TYwBPBERERFRHSk5l765SXj3Ia8cKisbwOfWg6cb2VUvfrcWwcvzlQAHYLaM3eC+KqHMQR1uvz8ci6X70GdvCEDNhQE8EREREVEdSRkw/1Z7zOZwH/ICs/MhOeTMD9DlRnZzr8/PYtNr1NMc/tNeAAZ7sQGJqM8jQrNVvGHIL4fSmzPx4gdNhFw2my13z3eHW1kZT82LATwRERERERXm7BMgTUzMQj/BLkepYiBgvQF9JSrZ3WFlLzany5XVsT0RDflcTiV8z+zqpgbTHpcvpBydSIR8ruw4vxgW7qLoQTMnaDrXJaLy5vBVez1CdYgBPBERERERFSY3spMMG9TJjewAK/G7ukua02azGSTPLXOH4xGvAEjpju02m81mc3oCogRla3nNdB3+mHy4GFCOdjoDogQI3kiRW6xbv4uiB3X4L8vl8gGPU3NH8hnh4t8y0FbBAJ6IaCv788+O13oKRES0VahbmxktcFd2NbeSf3f4Lwe9FasGd7jDsVQ8EvQKguaaguANRuIpnfjYHY7FI9rxBW8wEo8VHRcXdRfFDurwy8drTihxmrSV2DZ5qQxRvZicnDxw4ECtZ7H1JZNJu91e61k0hbGxMQCjo6Mmx6Sj98dfuViNOW1d/MWuGj7qamqepz05OQlgC/wZIPeo41/vRM2MGXgiIiIiIiKiBsAAnohoa9IWz7OQnoiIiGgL2FbrCRARUTX8+WfHWUhfU0sbV/77xs07cuWr7fkDLd/9XktnxU5M3Xpj418nN+7K/7Sz5fuelhd3W98PeuPK8UdLB74U+J4NwK3Lf/7Xu7auHS1df/eY4UWWNt78MLX0b3+9uaPllaMt+sd89Ohnv9p4/iePH9ldyn0tv/GXf5p8bOTitucs3wYREdFWxww8EdEWxJR7nfno0c/OPVKDVQCpm5OP/unyRoVOTL353/4yno7eAdzZ+N2v/hK0cn0AwK3Lj26i5e+/l4nV795J3fzg0e9+tXHL6JT/8eh3kxuaieXbuPIr4wlYuK/O77U8j41xy3dBRETUBBjAExE1C0b1taKEsjsObPvpxcdfufj4T3+ybQeADx4F3zBvRWXpxOU3/uN3d4CdLSOnHn9FOaxlB3D3g0dXPrIwu48ejX+A53+Sm+jesdMGbHykf4WNjz6QDzCwtHHl+KObpdyXtjKw5chPWmDxLoiIiJoCA3gioq2GgXp9WX5j4yaAr28LqCXinbtbAj9pAXD33/66XO6JG7+fTAG27//Dtue6lI86d2/78QEbgJt/LJi+Tr0Z2cDObd/Nr3Lf8dgOoyt8lLoJ2+6v6f4Nkbr1xqPgOZPo3fy+tv8v7aG7W76/EzcjGyZPiYiIqJkwgCci2lLMo3fG9tWXmv23FIDn/y57ofjulu/vBO5szC6VeWLLkYuPv3LxSy92ZR3V+TfW/gX/0cbv7mDH1x7TWY2/w7Z7J/BBKr+K/tYfN7Czpf9vdOasFvPbnv/Jl0a+XsJ9/ad/v6/91Nb/NRvuPPo9k/BEREQAm9gR0ZbRbKHpPwIo6a6b7UHpqmY/v78u3QHQsjs3xW3r2gHcSS0tAV1655V+IgAs/8+/AtixwzyMT70Z2QBsu/foFsM/1v812+/ubHz00bbnsuaw8dEHwNdh1IFvx9e3/f1/aXmuC7f+qPu9+X1tu58VwKNzT8uOyUc3Ixvf3W2t5x8REdFWxgCeiOoRg0zaVMX+gu0E/lxi2L+EJQA7bR1533TssAGppf+Zgm6n95JPROrW5f8Y/yCF7L50ekP89aM7wM6WfoMXAUrw/MeNI7s12fKPUjeV/PmjvDNsL/7j4y+aDVn4vu7fTwGaaXc9tnsn7t7ZmF1qedH4hQVRc0ilzPtmENHWxwCeiIhoi9C0jtu5beQfWgpswLaUugtgh2EuXQmeP0jdOgr1UnLSvmX3bqBKZe2WKg6IiIiaAwN4IqpHJaQ6mbQn64r9BUsmk3a7fVOmcvfuXwGDfdSLPXEJSzttO4C7d1K482j8v6e+/w/bTLLWt/64gQJl9nLwrKmil5P2X7dt3t7s9+/l3pecmc8tBCAiImpGDOCJiIhqp9Ay9WJO7GoJ/KMc4qZuvfEf45MbvzuHrou5+8PlnvQ3ZmX2z/1dCz7YSAfPyx9u3M3vP1dRTz2de1+df/MYwN3giYiIwACeiLaMarYlqxPatHBpBQhN+NCahO25731p5O6fxz/Y+Nc3Wp7TXwmfWrpr4Uq7bc8DN5UqermBfH7/uaq4i2UYV/sTERE1BW4jR0REtHm60AXgTmol75uVuymYJMBLPlHVsaPAAda07P46gI2PPqpQ/Xyh+3rqqYpMm4iIaEtiAE9E1PBKXv/PxgFV8FjXTgB/Xcrd711OgNu6DNeoWztxaSN4/M8/O/4of7f2QmxdOywd99zftQC4+ceNCtXPm9/Xo6eeMjjPpNkeERFRs2AJPRFRQxobGwMwOjoKVsLXN1v/12y/u5P63f/YePGodjO2jd+ZbuFm9cQudAF3obNb++8nCyTqC21Hp+qy7QDu3k39/m5F6ufN7+v//Oen2nJOkPe0JyIiImbgiYiINlfnnpYdAD54FLy8sQwAWP5oI/irDQA7vvaYSVbZ2okt3z1gA3DzV3+58pG6Q/TSxpX/9ugmgJ3bvmscb3f+zWNQutmb6nps907gzsbNCvWfN72vh/9P3vFyaf2mds4jIiJqEMzAExERbaqulh//JPVPv9q4+8Gjf/rgUebzr28LaNrLLb/xl3+aTGHntp/+Y0tnMSd2Kv3qUjd/9Zeb2nF3toykL6U/MTm1XrA5nJIzRxk987PHNbmvR8lkztEF1xoQERE1D2bgiYiINlnn7m0//cm253emP7A9f+BLrxwtnFK2eOJzRx//6U9adqQP22l7/sC2n/5jgQ3k0NXy918H7mzM5i5Hz5uGnDOHbfeeynSYK+KByJ3zzNYaEBERNQ9m4ImIiDZf5+6WI7tbjpgc8L0vvfK9Uk5UD9sW2F30v9Tlbd4/+jD1oial/9zRx185mn1cV0vgYl50vXvbKxfNRtS5TtaELd2X0jnPY1pKQERE1CyYgSciImpau1u+vxN3JzeKb2JfHRu/n0yZr+QnIiJqJgzgiYiImpftRU8LsPGvb6QKH1t9H6VuMv1ORESUwQCeiIiome3eNvL1+kzCb1z51Qa+vu0I0+9EREQKroEnImpIo6Ojybx+3USleO7otuc/ePSvb7Q8973K9KiriOU3Nm6iZcRCqz8iIqKmwQCeiIio2bUcye9RV2tGXf2IiIiaGEvoiYiIiIiIiBoAA3giIiIiIiKiBsAAnoiIiIiIiKgBMIAnIiIiIiIiagAM4ImIiIiIiIgaAAN4IiIiIiIiogbAAJ6IqCGNjY2Nj4/XehZEREREVD0M4ImIiIiIiIgaAAN4IiIiIiIiogbAAJ6IiIiIiIioATCAJyIiIiIiImoADOCJiIiIiIiIGgADeCIiIiIiIqIGsEkBfCKR2JwLExERERERETWlSgbwiWjI53LZbDabzel0+qIAEPXZXL5QlOE8EVFljY6OjoyM1HoWRERERFQ9lQrgE1Gfy+kJiJKU95UkBjxOlxzPExEREREREVEpKhPAR31OjygBgOD1Br1C5htnnyAAgCR6XCHm4YmIiIiIiIhKU4kAPurziADgjcRTsXDYf6g/853DH4vFI14BgBQ4zyw8ERERERERUUkqEMBHr4kAhGA87HboHuBwhy8HBQDiNUbwRERERERERKUoP4BPzM8CEIb360fvMsf+YUbwRERERERERCUrP4CPz0kA+nvN4nfA0dtv+j0RERERERERmdikfeCJiIiIiIiIqJLKD+CdfVaK45WF8n3OsscjIiIAY2Nj4+PjtZ4FEREREVVP+QG8leXtidBZEShcaE9EREREREREuipQQq9G8B6XL6qz03si6nM5AxIAIXjSXf5wRERERERERE2oEmvgHX55lzhJ9DhtNpfr7CwAzJ71+Vwum83pESUAEIKX/cy/ExEREREREZVkW0Wu4vDH4vAdDYgSIEkSAECS5MAdACAE4zGG70RERERERESlqlgXeoc/HIvHI0GvIAiZTwVB8AYj8RSjdyIiqis//42t1lMgIiIiKk5lMvAKh8PtD7v9lbwkERFRxcnR+89/Yzvzw1St50JERERkFfeBJyIiIiIiImoAxWbgEyHf+bnSh+s7GWYxPRFRBYyOjiaTyVrPoiFpi+eZhCciIqIGUmwAH58TRbH04byHwmAAT0RERNkSb713dGZRWgJwE13dwRef9fc9Ufi0lTuhqY8nZh7IfXOFru5h3RMtHmZk7j3blS+Cx7/r7wBwx/fzj2e7nugfePJQ3zPuDoPbmfvk9dkHE8uL/S/+MNynf0x04jeeme7ImW8W2mT3i9CrNwJLT6oT0HzYOZga3mn1LoiIaAtgCT0RETWR/N517GZXB6ITv3HekKN3AMDSYuDKDV/Bir+591wXpwNqWA5AWloMXLnheuuLUg4zdMd3ZREDz2qC5wfS0qJ442PP1B2jU85f+Tgwo7kjvcl7ZiwNn3jrvYDOdZ7wv9iNmenCT4mIiLaSYgN4dzhVjnChl8xERETUXJRQ9sngkX2p//r8v5/ZF9n3JADxyu9DKyan3fFdWZQAYWAwfuaHqTM/TKknSje0wb/FwwxFJ6ZFdEdyE91PCl3AzEJU/44WRPkAA4m592xXFguPDWDlk6M3Huh/1ffNyADEK+/pz4GIiLYkZuCJiKhZGCXbmYSvpS9Cby4C8B75rlrT/oR773cjAwAeTMwZJskTb30sAhgYjA3vVBfnpU+EOHunqMMMrXxydgbCvmfzExD9nU8Ci9f0XgFEZxfR1T3cqXvBO6GJ3zstRu/4IvQvH0vGX7uHnhWweNZqKQERETW+TQrgE4lEYnOuTEREVApG6fVpZXFiCUD3oeyF4u6hZwVAmlk0+nMivvQAgLc/dwW4u78bAJYfJIo5zEh06mMJTw7rrZbv6+8W9F8B3Lk2A2Gguzf/nJVP5GJ+dHVHjg96TYdGunh+4NmgUTK/o3u4C9KNj5mEJyJqFpXcBz4RDZ0/OyFKWa+KBW/w9Em/m53riIiqjiGrdYWf1c2qzKM+VLMz/8oDCcBAT26Ku+PJfkBaehCHfvdb9/APU8OFL2/xMIO5fXJ2Bujq3q/bqa6je7jrY2lmITq8M2vycwsi4O14AvoL4J/07nv25N6dDty5Zj763HvOGw+A7shw9/yrHxsc9MT+gScDS4tn3/rCvddyTz4iImpclQrgEyGXM6BX5CWJAY8YELyRy2FG8UREJTIML5spqqSqKe3VT0lhf2LlCwBCV37w+URfF7D0xfwKjDq964rOLgIQBrrN/+iwclhiTl48b3SMEjxfm4NbUz4QnV1UCgpm887oeCZ25pnC9wAonfPwZPD4N934Yt74OEdft3DjgTSzmNj7DP/OIiLa+ipSQq+N3gXB6w0GI5FIJBIMer2C/Kkkepw+1ncRERHRJpJz5ug+bZ6OtnaYXH7f32F4jKMvr4pevnJ+QUGRohPTIiDs+6a/4MuLjif7ASw9iJc3IhERNYZKZOCj5+XoXQjGY37N21+32w1/OJyIho56AhJEj+8Q29ATEZUiP7c5NjYGYHR01OQsltBTaapZQl/Ag7kVwGoG/o7v4scS9HvOlXDYtRkAT/aZjC7X+Wuq6OWkff6S++LIbfm7nr1sqSpeLlXILQQgIqKtqfwMfCJ0VkR+9J7hcPtjES8AiNeYhCciIiLLTOPnLHd8r06LgDAwGDOLey0elvZEr9kEdh4agKYX/RevzzzIb8hXnJVPXHLx/I8slsQ/0avb7p6IiLak8jPw8TkJgDC83+xfM+6TQUEMSOK1aNjNHDwRUXXUUR61dkooQ8h/bslk0m63V2hGVHkrn7iUpPo+s7Dc4mHKwQ/y17Dnc/d3Y2ZRnL0T7tupdNQvq35e2TfOUvF8ttmVLwD2sSMi2uoq1cSuv9f8NbGjtx8w2cmUiIiImo+j4wnggbSUH3x+MbeEQglwAMDce64ri4XDcouHFauvx4tFcWYhOrzTWX79vLKpHqQbN2w3cr57ELj4mwDgPfLDMEvliYiaVvkl9M4+AcDsvPlGqon5WQBCn7Ps8YiIiCwqrQsAewdUU8eTAvT2Y5cT4F1Pmv/hkJh7z3ZlUcKT3iM/NAnLLR6WM7F+S8elq+grUT9fBpNme0REtHWUn4F37B8WApIUOB/1G3eoS7w+IRWssyciIqooLiKof/Ju6ksfn597RptYjk59bLqFGwBg7j2nstfad80Kzi0elsvqPnbOricx82B29uPZcuvnjfaZ+yL06o3AktH8v5hfLmdIIiJqKBUooXf4T3sDHlH0uPoil/06m72ru8x5T+t3uds0i1f9x8aTul/Z7UPf/vHw4cFua9ewj1wKHS54LBERERVJ3k39gXjl9zjyzXArgC+ib73nmQHw5HCf6YJ2K2G5xcP0JtbbCSwVboOf3okd5fefL4W81qBmmX8iIqqqYgP4RMh3fi7/Y68AUZICHmdAELz9w32HensBzF+7NjcrivLSd8GLa76QM1zlIN5AMjmVPDf1NuNyImpUo6OjyaT+K0qihuLY+83I0g3PzAPxyg1R87n3iDbklrPQmRXscoo+vTI8T3fkzDfdlg/TpaTWCzaHU4oIUEzP/MqxttaAiIi2iGID+PicKIpmB0iSKEnQOUQSRQneQ2FUO4DXy54vTl/95bnxZHL8l1e/ZR7Cdx8OXT+8qfMjIiJqbk+4h/dFuj4+e2NRaXfb1R38kXkbdnmT9oIsHqbPsfdZ741pcWYxsdd8RzeliABd3furHsDLO88XWGtARERbRqW60DeY7sHDoVO3D56bSo5PTB8+MVjr+RARETW1J9x7v+nea7Jj3xP+l37oz/zjzvCZH4YLX9biYYanHxqAOLP4+sozmrcJOtd07P1uam/uye7hH6aGKzK3nHvXUjrnna5gX30iIqpnxQbw7nAqVca/CevJoDCEqan0P05fOHhuyj5y6eVdE788N5UEYB8aefnEt97JrIGfvnDw3JRORl9Zaz906rr6KmBx+urEa29PpatbDZbcL05fnXhtfCqpHvPjl0+kDzEYLH+sfGaX1T8I9qGRnPnJ4w+duj6MC798TbmV/MOKGi79RHSOMnj+uyasToOIiKjS3EPPCjMfB6bu+Ierv7jdgrmPA0sQ9j1bVuc8IiJqIOVvI7e13FajRwDY9a3sEHFQGAKQvL2Qfc7iO28nAQwJSkQ9fcF/7Nz4lHZtajI5NX7u2IXprNOuyodpjjl3zH910XSw3LHyFbhs9hQzE5waP3fMnz1BAPj0Nf+xc5lbyb8NS8OpB+UclT+c0fMvOA0iIqLN0PHM6QFg5uPQSq1noic6u8j0OxFRc2niAH5amgJg39Wj+Sw5NZW0j1y6fv369evX8xfHy0H1lJQdiGfH1NMXzk0lAfvIKeUy169fv3RqCACmXssEtotXfzmehOY4+Zjk+MS02WALt83j98KXBRav+uUpDo1cupSeoB1ITp3LDb2TySSGMpeyI3tKVobD9IVj40nAPpR+IpdOjcjD5QbhRs+/wDSIiIg2i3t40IsHgak7tZ5Inrn3PDPwHjFswkeNIZGIhnwul8uW4XK5fKFoIlHrqW11iZDLZrP5ojrf6P1QfKFQtBY/k6hPnkCorn8hjB+m9qBoyJd5qvKveZXmlzORCs7W0rUqq+IBfMJQNORzhap5b8YWF6cv+M9NAbB/OyfLbh952aSpnU5QnRu/y68FRl7WVnh3Dw6P2KHNp6tnnQqpx3UPnjiVfXGdweSrm8TvFi6bOebE4e5udYInQjqhNwD7yKUTmUv9eAgAPr29WMRwV1+bUoZLP5HuwcOhSyP27Fca6ni6z990GkRERJtoZ/hId/0l4b8IvbmIgcEwd49rYImoz2VzOj0BUZIkzRirf4oAACAASURBVOeSJIkBj9Npc/kqGLQloj5XnQeBVRX1OQMSvJFwziuwRMjghyIGAh6nzeWrUcxZ1xKhowGpwCFRn01+rOon8q+5rfoPtLKzdfgvBwWInir+j6tCTewS0dD5swGxwKMAvIcqM14xkuPHDo7rf5UfLeYF9DnkhfNT0vSJQTmIzq1pHzxx/foJ9ejFxcWFhXduS7ffntKUq+ucpXOu3mBW43ezyxoW4Ss9AT69vQjNu4ev7tI+j55ddiCZvL0AdBcznH1kOHe47m992z6eTL79zuJhzc/A6PmbTYOIiGhz9X0zdabWc8hl0tmOGkLU5/IU+tNZEgNOcSIYj5W9C3PUZ/OIgBAs8zpbRtQnP4+T2eF7IuRymsd2kuhxzlbiR7J1FH5oQCJ01GOwkZnoOdpXxee5CbN1+E97Ax4xcDS0vzr3UZEMfNTn9FiI3gGhXl4T2+1DI6cu6RTJF5STFteNYRenL/gPHjx48OCxY8fOnRsfz4neoVbCZ5fvFx6sUPxu6bLGx+ituje9lsW7gPwSJdex8WTecEasjEHUbMbGxsbHDd5OEhFRPYv6bJnoXRC8wUg8nkqLxyNBr6AeKwWcVS3PbQaJ0FkREIKXs8MtTWZW8Ebi2p9J1g9FCpznT0SWiPoKx8OaByt4g+pjjUeC6ed5tDrZ602brftkUKji70UFAnj5fwIAAEHwer1eQcj975D/Z5CK+WuwTiu9plojFDqh38Q8O9Orp2eXHenybZ34ffGq/1i6D5vdbh8aGhk5denSiM6eOIUHy4rgC8bvli9r7RiLzC8lB/kVuhgRERFRw5OzvwAAIRiJx2Jhv9uhiSQdDrc/HEvFI17lg6qW5259SoDmPZ2TLU28PiHHbd5IPBZ2O7Q/E+WHEleiOPEsfyCJaMjnchYsI0HWg42F/epjdbj9sZTyOy5NvL7Jz3OTZ+vwn/YCED1VedlWfgCv3qQQjKdisXA4HL48LACQ+g+Fw+FYLJWKBwVAEs9u9g+mOrq/9W07kHz7nUW9+F3t6qZ0XAuFQidOHDba8MzCIm45gv/09qL1+N3S2vAKrh+3cim9lygK493wiIiIiLacTOpLCMZjfrdhya3DHVYjBuZ8Kyh6PiAB8B7KzSvG55TA7ZDhD0WJ0wBpLr5pE2wEiZArXYAtBOPqiw39Y9PB4sm8VK6cut7sCL4as1W+q8qrnfIDePl3XVuD4tg/LACYnVem7/DHIt6t8/88mQheJ/+uVJWPDOfE7DmJaDmNb6V8fFAYUga7/SkKxe9WLmt8jF5bflPlDUdERETUdNL5vbwCbj3usBrCi9c0f0ebNSaXm2Kn22LL/6ik/KWAU/fEorqDZx9sfHjWRBLRkM+lPSVzRs71zAa3OrSZ6DUR0Ivf4ewzietU7rBcUp3b+y5/euaTS+Tei7r5QDH3Yv2BqD+MCndLV0qszX+PlRcjwvB+neOUuLEKOfjNnq3yXTVupFJd6Pt7tYU/vf3IfjPlPuRFzv/zNK50BP9OgT3dMuTYOJOtli+RtyHdVf/BgwcPZu+tpkTwExNvJwuOZeWy+sdk5lhEEXsxw+W1m8f0hYMHDx7M3beOiIiIaOvK1OfmFnAbkP+Ixub9HZ0IuXT7bbt091fLOzhzuGHmcV7t6K09xeO0+aJA1OfKuZ58tfyLGQ9t052q0d2eNYrf09GZ6HEVv71ZMY8xEfW5nLn3om4+YPlmKvNAStU7HIzEU7GwcQWJKjE/CyAnWsyQ48ZNVpXZVi+C38x94NMpeKj/56P9pIEpEfz4eH5Nu5JwHp+YVuPSxemr/oPnpnQvgalz/qvKkYvTavV9TpAuR/BTU0kL2XErl80cc+HqonLQ4lV1W738dvHlDnf4x/L+dMfSB8lt/s5NARj6cfF9BImIiIgalFqmLfQ5LZ6RjuBL+zva4Y+lUmopvhCUW3Kls5CZltxCMJJu1+UVAEh5K+81B3vTXffi6cONmu2JAY8oJz+zrg+IHpfLI0p6ncJyG4Wlhxa86Xlqx/ZYDVmV568Xv2sL5AMep83m8vlC0WjCwlMv8jEelZdia56J5qlIltZRV+yBlMjh9pus/sii/soXsJmLEqo0WyW63/wIvvwAXq42yf6/FPmz/DvbKstFlMAVyAu3lXAVU+fUtuvHzo0nYR85lbMRfPfhl+VPxpUjj51TFs/nLQqXXwqg8B53Fi/bfTh0asgOJKfGjykHHRufSgL2oVNF9uW3dBeDJ04NZR108KDc5s+uc7NEREREW5aa3zNK8OlRK7s34e9oZTl49mp8hzt8WVnqm7X+VXtwON11z+Fwp3u7GYWeyhlIX/+0urRfyu8UpjYK09xtui24NxILayIxzdiStbXHSv284esTdziVWSAtiWLA43E6NfXt+kOU9Bi9kayEsMMdVm+98Kua4h+I/B7HoPS/KgyfuaWVC9VW2myVl22bHsGXH8Ar9fJZE1XeP2h++9L/d7U1pCN4ne3UT1w6NTKU7jlvtw+dunQ9dHhw11eBrI5v3YdDOkfqRLTqYBbid6uXHTyRfRDsQyOnLoVKCKeLGk57VInjEREREVFFKOFsfjl/OhWd+WNerT3XXbrv8Cuxqm4Ynb9aIF1VoNMpTI2QNEMryw68Eb3oUx3bSretAvXRyvViyp5x2khNqW932mza5fuyYh5j+hWCTos0y69qKvdAqLKUn+Cm56xT5VNfVGlKOJSP1Dqd3LodKsrCr4//4Ac/OP7rhVpPpLH99re/rfUUmsK///u/13oKTYRPu2r4qKuGj7qamudp//a3v62TPwPS6V1vpJxzzP6yVg/PGkH3BN0jjajZYaOD879PRwg6szS7Wu5cC0/TcqBRQkQSj0ciQW92NJ99gaIeo6X5FfjZVfCBVIrZlApNpoLPz6LNm63Z73wFVWINvPp2SRIDHmXxi/KRFHDabC6X2vpSv50fFSA3u7eWfyciIiKiepXugVXEgvbil80Xd2FL11Vz1wVLi/NvrIjVArrU+xc9NgNqj/3NyHs6HG63X94ZW7tEX7Pev5jHmCeRSCSi0Wg05PO5XOqNFFDbB1Iqw8lYXHVeXSXOtiod+SrVxM4dTsWD3qw3U+6T6Y0rldu0tFkG5VqcnhhPstsbERERUeMrfkG7WqBddiBcEYaTqFLoUlMOt19d7l/epgCJqLr5m9PpdHo8Hk9AzG5JX0vKJoV5dHctLMziGvdCL0AqPCsjFZrt5tpWqQs5/OGYP5zILApxuMPx+KHzR8/OAugfPn3SavM/UkxfSHevL645fJObnJw0+iqZTFZzJk2Lz7ma+LSrho+6avioq4lPu9oc+4eFgCQB4tnQSbeF3FY6ftdvnF5ts/MJ6P5Jv/n9rryRTe3AFvXJiesCwzj8p70Bj2jyJArIdKyXCYLQ39/f13do/353/LzFJDxQeKb1wtHbD0iGD8xKX4IqaojZViyAlzmybtThcIdjDfB7Va922QG5WfvLTL9bd+DAAd3PJycn7Zk+erRZkskkn3PV8GlXDR911fBRV1PzPO1bt27Vegpp6QheChwN7Y8VCOGjPk+x8XvRFcnSXBzIm4YaZypRohrX6B+sGbbykY2zTzALqSo9jHgtGnabPGujNxWWHmOmf7zgjVzO25bcWlXGZj8QdziVClfwesp8pYnXE/6833e1IV/BlHalZ2WkrNlWqW37Zu4DT+UZPBy6fv369euhE4MM34mIiIi2gnRrckgBpyuU29I8I6HmhGHQtFy3Dr+IEELtBa9XDZ5udK6+N1BLiw1Kx9VCgU0oLVaL8w0350qEXBaLqc2ahDv2D6vb0+f1mddQd4HLvKko5jGmA8BgfvSuqbYwV8EHUhXqk9Vri5/ega9uOqVVZLabnKAvNoBPhHyyUCL3Eyvq49eIiIiIiKg23OF0Y3kp4HHm7TCeSERDPpfNma6mzmskZdwxLh1fWpqIGnrmbf6W3qw8nfdPv3fQ2ylO3WNOZ8e4CnCfVPdTP6oXSqTnWnhsNfTVbSGYebMiepy2vG3flZ+K8kPRvlEp5jGaSD/Egir3QKpD827ElnlllYiGMo+zbuL38mZbVkPDIhTZtV7tTJfpnZ/+xIrq7Q9AlKNO9o/Z8ppnU6J6wKddNXzUVcNHXU3N87TrZxu5jIjXUrOsAnvFAUJmF+dIVkvprL+6s7e3isfTl0z/Ia+9jnqZnKE1g3oj6iXimcOL2KWumG3kcodOT1TTFt7yxl0FdgmzGNfknW75MaZvRPBqbiOe89uQdX3TLQCtPpBS9i8sQsGt4EwfbLU3Gt+02VZr+z4G8FSid/85f2/6hV//8/HjP1Ac/+dfv1vM1vUL7/76n9Mn65698OvjP/jBP79b4oTr7t/cW1Tz/DlYc7/4xS9+8Ytf1HoWzYK/2FXDR11NzfO06zGAT2lDPKNQwWscCWQiuJzoIqIbneT8wa750uBCEPT+bDc6WG+ulQzgTYcuKmJSrm4ck5iNo3+jpqflPUbDH7rgTf/ssqZnFBUW9UBqHcCbTFfzJqNKNmu2ykmb/z6i2BJ6d1g5Md30MP2JFY3QKpGsmL5wbipnb7vpCwePjU9lutkmp8bPHbswbe16i1f9x86NT2Va4Sanxs8d82ef3n34x0OYOmf1mkRERET1y+EOx+TEuVfQhguCIHiDkXg8FQsb10A7/LF4JKg5URC8kXgq5tcv3nWHc14XZDaO8sdSeVcKRuIxvT/b8w9WBo6bzbUiMkNnjx2MxFOFegFqKPXuxrvAOfyZH4rOT8Xoh2L5MbrDOT845cB4LOx3p9cpWNikrkIPpFqMHlBKpxlA7ZUyW6XBQRWWA9hSqdQmD0Fbz/SFg+emhk5dPzGY/RFgHzn18uHBbmBx+uovz40nAfvIpVChJvqLV/3HxpOwD516WenYtzh94ZfnppJA9ii6Q1s0OTlp1KCeKqh5ehrX3NjYGIDR0dFaT6Qp8Be7avioq6l5nra8xSz/DCAgvV9cg2zCRo1C2XCgGr9XFehCH/XJbR7KvxI1hsWrr03lbE2/ePW1KQBDp0KHlZb53YOHQ6eGACTffmexwAWnJ+RI/+VMv/3uwRMvj9gBTEnZ+fbB4RE7pl67WuiaRERERES5lBZwes34iEoltw7U3y6i0soP4KPXREhi4Jq1jQup8U1PjCdh//a3NFn1xXfeTgIYErLT4oPDI3YrEfzgievXr1/PzdN37/qq3sHd3/q2HcnxCdbRExEREVGxHP7LQUF/nzCikihbCFSp8X+l9oG3tDsCbQFyrj07fsfCbb34XY3Bk7cXShrp9qcA7Lt6ci/6rW/bwSQ8EREREZVC2TGOSXiqjGqm31GJAF7eiFJ3O0XaeuRce078bhRqAz277AA+vV1srL04fcF/bDyJnD55MjmCt1CaT0RERESUxx2OeJmEp4qQ0+9C8HK1WgeWH8DLm91LgaNcBt8M5Fz7V3cV6EpXuukLBw8ePHjs3FQS9pFTl3R71ZWV2CciIiKiZucOx4MCRI+PITyVIxE6GpDgjVSx8/+28i/h2H85gqOeQMDjDEAQhP7+fsNj+05u9hYTtKmmpSno59rNJG8vANZC/sXbn9rtdiCZTCI5fu6Xt0dePpGfg+/ZZQeSU9L0icGim9ETbRWjo6PJzL6NREREVAyHP5by13oS1Ohq8GtUfgAf9Tk9YvqfJEmSJMnwYO+hMBjAN7xiE/BFBPzdh0OhwwDUfeimxo9hV96ecd27vgowcCEiIiIioqZSgQw8NQ95sXuJlJ3is5hs6N49eDh06vbBc1NTr10dHtTdSf7T24sY3LRifiIiIiIiorpS/hp4dzhl3abva0+1YLwmvcwl83IPPCLaomx/iNV6CkRERESNhBl4KoJR6bq8Jj0/IZ7Vnn7wxPXrJ/SuunjVf2w8aZaNN7CJvfSIaLPJ0bvtD7HUd1y1ngsRERFRY6jUPvDUHAy2hVM2dhufmM76eHpiPH/PuXxyAh9T0nTOF/L5OnF6WaX8REREREREDaniAXzCUDTkc4W4UUNjMyqWlyN4TJ3zX5iWg/vF6av+c1OwEL8Dg8MjOWfLO8HL548M5+Xl5cr8IYEt6IkalLZ4noX0RERERBZVqIQ+EQ2dPxsQjdvPK7yHKjMe1YpRsXz34ZdP3T52bio5de6YtlPd0KmQbv+5bN1Kv7rcs2HXPT+rMp+IiKrhYWhufmJ5Tf43vdD55dNf2eVuK+oKq74/fCJ2PpPqa8//LrFy+/ynn4trAIDP/rfXvuvkV9qtb1sTnYt51r4c/8YuB4CVP9k+XRfaWofbnt5veJGH0c9Wr62tzi63nv7O3xo06Ck44VVxTZ5xm9DZnvtA1m673v+8/zlXuMPybRARERVSkQx81Of0WIjeAaGvEsNRDXUf/vEQkHz7ncW8bwZPXDo1MpTpOmcfGrlkfVX74Inrl04N2dOn2+1DI6cuhfTOX3znbSuV+URb3NjY2Pj4eK1nUYr8lDuT8HVv1feHPwbU6B2AtPy55/0/FVVVF537RDT4KvHZTectNXoHgDUx+YnT+vVX/uRZhveruzKx+tqatHwvkPzk/IrRKbc9yc9FzR0VNeHonDzh9IzXpOXPPe/fDK1pDmrbdboT4q3inhIREZG5CmTgE6Gz6r/hBMHb34/ZWVGSsv47AMEbuRx2cw/4xjcoDGFq6u13Fg/npca7Bw+fGDys26jOiu7BE6HBwmfL8fvQjy1k9omIqAKUULbty5G+Xe42YG01NPdJYO2e5/3tStK7gIfRuT96lg2+XLt9NLkGtHmf6w13bE8mk/bOJ31zn4hr9zxzT+tmv7Ot+m7dQ+czuYnutjZhbU1cWQ136FwhunJPPsAggDed8MqfPMuZCQPpB7IWeP9PvZp8vrvvGe/yJ9bugoiIyJLyM/CJ1yfkCD0YT8Vi4XA4fHlYACD1HwqHw7FYKhUPCoAknn09UfZgVAcGh0fs+Q3rqmZ6YjypuzCeiBqBUbKdSfj6tXb77DKApyPfUEvE29r933jGC2Bt9fU103OBxMpt3/vGwTAQ/exzCRDsajAMoK093PdlAcDyvYLp68Rnt0W0Bb+SHyG39rcZXWH12jKEzvb+Uib8MPTpPQDe557XTlh5ILh3LSvn337S3obl26FCT4mIiMii8gP4+JwEQAhe9qvv4B37hwUAs/NKwO7wxyJeQAqcZxnZliCX0U+9djWvjL4KpqUppt+JGhWj9EaUuLcqAeh8OnuhePtJexuwNnHvodm5am280PlM/LmndY9x97lS33HFvrI969O27brRdZ7V88k1tLXv11mNv/1QZ1teRA0AWLknom346e3551iY8PrcGoCnD+WubG8/1AkAsw+zHojj6XYBa4HPVi3dDRERUSGV2ge+v1dTQufo7QckaS4OKJ+6D3khiuK1aNht0CmGGsngiVNDU+fGJ6YPF7lze7mmL5ybwtCpKo9KZEENQtO9+wD8YguFxPUe3n92p9YzUKS+46rmcPG1NQDevEJ0x/ZWYE1aWwd0IuGMtqeDX93l79iOlXtFjLr2cBZA23an6VGJz26LgNCp36nO+XS7kNSpoo+u3AOe7m3DXCkTbg9/xxW2dA/y1dqH2z6Xlm+HvtLuL67nHxERkY5KBfB6ZucTcGdF8NpPqKHJIfxrV4cHq5gLX7z6GsN32kz1HkASASjvF7X44P/h/BqAtr78IH37dgGQ1h4mYNgu3vGV51NfKXaOSKz86eitexKy+9Lpze315TUY5NKBdPB8L9rXrskerF5bVgoKrlVowpnL6kxm+/7OtkBybeLeQ3+b6ZsOIiIiC8ovoXf2ZdXLaz6T5uI5x+Z/Qg1r8MT161a2iKug7sOh69b72hMRUYOJzsX+82d3nLfuSWgLPvd3hTZgk6vZW3sNM9vb9+dV0ctJ+/yCgjLJl0Xnrvw0u2N7KwBpbb2yIxIRUXMqPwOv1MtPvJ7wZ1bB9/YDkjYFn5ifLXskIqJNVU5lMrP3VDVVLqEvYO1hZr1cuR7Or7V97f/683/6j0cS1gK35ufsveGvGGetV+6JKFBmL9f5a6ro5aR9/gr28qz8yZlcg34vPbVUIbcQgKhof/7Zce0/Pv7KxVrNhIhqqAL7wLtPBgVACjhdvlBUycMrKfgJtfF89HxAAiD0mS9mIyIiokZSaJl6Mbb7v/H81Z2dse+44s99WcCamPyjz2gjd80EzF4fdDzthaYX/drqxFp+Q77yrPzJdese0OZ97nn9Ve5WG/IREREVVok18A7/aW/AI0ISAx5xLpIKu9WPpIDTFhAEyFvBQxjezwXwRLQl1SQpmkwm7XZ79cctVgnlCfWVZG6cR71lODp2xZ57aLt1T/z09skO/ZXwiYdWitLbD3VCXL53beVv3R1KR/0K1s8nPrup5N6/YRC9Z6zPr8HNPnZERFSeCmTgAbjDqXjQK2R9dDLilf+bEr1n7TRHREREDWB7bxuAtbn83eIePpRQKAFe1sjbhcIHFebueBqAuLJa8fr56Jz16J2IiKgyKhPAA3D4w7FUKh45qZbSOdzheDziFQRBEARvMBKPMXwnImo6pXUHYE+B+uFsa0Pe9uZQE+BCW2t5l38Yej9m+0OscKl8Hrk5XGHpKvpK1s8/jM7FPMtraHs68h2L0btJsz0iIiKrii2hTyQSDodxIO7I2iTO4XCHY2zYQkTUxOqtGJ6K5Xi6XUiuScnb0a/8rXYztvNJ0y3crNre2wasQWe39s8+L5Dht7CPHQCgta8NWFu/9tl6perno3N/9CwDbV+Of8N8ozsA6p72RERElVBsBj5+3mmzuVy+aCJR+GAiIiJqcG3tw20A7nne/1N0DQCwthp6/xMRQFv7/rKzyu6vfFkAsPyJa25V/dPiYXTupmcZhn3dlYlt74fSBt+UvJncmlih+vnEZzeLiN6hrjWobOc8IiJqViU1sZMk0eMUAcEbPH3S72ZlPBER0Za13d/3zNz7n4hr9zzv39N8/nREG8Gu3Xa9/7lUwoLwNqVfnbT8iXMZAPDZHfkLw77uCiW1XrA5nFJEgIr0zJdLD4C1z51/+Fzn+85nUn1ZLx0qtNaAiIgIKD4D7zyk6VUniQEPE/JERERbW1t7+BvPBDszUbLQ+eX4d/62Yinljr9NfeMZb1v6+m1C55cj33g+XCBbvt3/1aeBtYl7+R32silFBBA6zYvtLZA3ny+C3Dmv/LUGREREAGBLpVIlnJaIhs6fDYhS1odMyFM9m5ycPHDgQK1nsfVxt62qGRsbAzA6OlrriTQF/mJXTZGPetX3h09E69Xs1ScXJuSl5etE8/xiT05OAmj0PwP+/LPj2n98/JWLtZoJEdVQiV3oHW5/OJZKpeIRze5xTMj//+zdb2wb153w+x/Xvg2c3OQB4th6Etm7JUB6E8VOsltslQwRpEqz+1zShuEAhhbOCxm4KEgYyJo0Fk4ewA5UwRGebYyFyaCALwd98VgvYqxg3BiJQj7tdaMEAadVi2yTyFFakyjT2nJWVhzgJnC86bXL+2KG5MxwhhxSFP9I3w+KBUydOefMkdv1j79zfgcAAHTQ5qP+u+TGH082X8S+M7J/+KNW/yQ/AADNWOE1ckYgnzcH8pqmRoJBny8US2WJ4wEAwKoJ/NX2qIj66eWe/BfH9fPXRLZu55Z4rNA3Lx62pd/dPlwNhVTI50Eo1Zn/FhayqVgoll3ZjOs/v4qysU4Pry9Gy7+dQiGbioVM6xlyDPH09+rU34H1rj33wAccA3kS8gAAYHVtTj98X28m4bMLv1XlvkxPbp5HH6kfpXcmhu8h2ZMR+ylerJJCKuQLBiMJVTMtuKaHeMTqXdSeAL7MKZAnIQ8AAFbPlr/ObO29JPyNyy9fk+jD7Sv1h3XJS3y+2jF8IJ4rWWSiIiLRjPXTXLzXKlHYZ2iS5r+YjWRjvmBCE1GUaCafr6xcPp+JKiKiJYLE8N3S3gC+zDGQVxORYNf2qwAAgLUqPBQq9Vodu7u2574XalRIH6jHe2S+7vLwWGXZWEQVESWZz+XS4UD1f10DgXA6l0/qMfxJIruuWJ0AviwQCMfTZzLJqKI0bgwAAACgj2Vj+lnoQjZmHJwOxVIF5zPSxll1c4KvkDUfuA6FQrHqDt5CKuTzRVQRETXSxqPk3k55681MbRy3Flv7cmulNwxVF8iplWU8973MHptZHtHX3T2DXki9rIpINOOyrSIQP5NURER9ubaLQnU6oZjDCA1Xu1ImwPx3wem9qn/FfKFYtuBy2t/zb6SPrF4AXyj/dTKdnFCGVm04AAAAYI1oNqneW0n4hZMHI5WT6kO7PW6PKaRCwYj5wLWmaWokuKo137KxkPMpb+ughZTezNQmUrOHvNzI1sph+udjwUii3M5pm3J5WtVJqQmHrjw2s08yoYniGp2LZE8mNBEledT9oEEgfiafrz03sXAyFKxOR1Pt++w9rraIXHzZ8nehppHxd6Xy40gwdHLB8WW9/Ub6SvsD+PLXHEHzXyclmszkS6VcnAMnANAW4+PjY2Nj3Z4FAAB2mqpqSjLf3OH4QuqgHjdmKieu8xlzojcQz1kP4K/8JHs2FlFtY5by+hDm7LIxtWo7vY11D3k2pp8Zj1b60qevqRF7wKiqaqUv40y5uVEhFdKnFU2WT5/rrTQ1EjLPylMz2wsHE5pINJNzX7zCpYsiIjt31P29BQK1P9Z/75b3Mq+Rx9XWu9I0iVZXWxERUc+Xu7L/QvKZqKKp9uKGTfxG+kv7AvhK4G7+msMI3Eu5dDzcW0fTAAAAAKwGJXmm2aJ2+QVNRJTR3dWgIRDWC+i1ViBP32df7wq57HnVmKspUAmEj+pHvBfyxieFt6Y10XeUG+0C4XQmKtaQsrzrPF3pKxCO68fFa7eaV/sKhNO2/ejV4dLxcpQcCKdzti8NPDYzKaRCEVVESebrfvVh/CKGgnXauFCSedN7HY+KqoUyXwAAIABJREFUiFy8ZLy7x9WudpWurra1q5pfSGURLW/b1G+kn6w4gHfaKV+tV0jgDgAAAKwryqjXbfNVwSE9Y3uwczdQh9OmrwcKhUI2m0rFYqFgwpLKLYeL+8K1z5YjYb2Nw67zwO5RRUSbfsv8SrZ2gfjxqFRiWOfhRCS8zxzFemxWpeejlWR+Fe8LsGbtjd9oOTT3ttoeunJcbGMRK5r7jfSXlgP4glFXIGg9eFHeK2+tVwgAAADAqzt+9Oqqtu89emCln2cOGoXLVnQJtcs1crbsc6UUWjAYjEQSiZqN2E1kpLVEsCbhr8en1gRzze50PT7VY2734fTQ3OjKY7PqzPTyfx7ok2lF4zVqvNoeutJf3WURrbz+RvpL0wG86Yi7uQABe+UBAAAANDw/7SwQz+UzprurNDWRiASNEuOrw1IKTVGUaDSZzOTz9t3YIo1eSY8p28jjCjax0Eo0qohoiYPeNo+vQoDbxGqvXNt/Iz2k2QA+e9JaOZC98gAAAABWLhBO53J6sbHqNdSaGvEYdDapXArNKHKWy+XS6bhbSFOzJd1BpXBfw7x/Q16G895MPwqunxNveH27sRWier7fkX5fYBPfrTS12h54evU2/kZ6SMtb6NkrDwAAAKyWO370A88t+33/vE0gHI+nc7lKHfrVObFs7EJPHrVFkbbkre0otyMvbarssadxnl1Pp7t3ZVSB0zeXe2xm0P9knBNvVITdSwSvD6KJeI4DPa62By57/K0dNfcb6S9NB/BD0SQpdwAAAGC1bfDQpi+id6dwyghby39KhWw14kVEAmHjZHwH6bFpNcx2jmet8y23qS1uno35fD6f9Vo32/cR1np0ruGzMS9j17zHZjbl6vn1i7BXAn2X2+gK2VhEryhf56p4j+yr7YFRhs62k6DckaWR199If2k2gA/H03FS7gDQdRMTE1NTU92eBQBg9Qz47m/Qoi+idxEJ7Ngpoud+9Rrq2ZSt/Hg54IqETJXrCllj37UtHG0i2qujXPf+ZGXAQjYV8tVUe6udWmVelSLw5UryiaBp/oVsLBRRRSR63Fr5XUsEY5Wu9NvKTV1VhouljHr8hULK6KkaM3tsZqdf29boKLwR6GuJYChkuRWgkE3FQsFI+UK4JoJCr6vtgekXUlnEkL2j5n4jfaV998ADAAAAaJuBDX//nXo/f8zrHvvuM677FjUS9On3T2vRTMZ88Vcgrl/lrSUilcrhwUhCE1GimcqB5XIYGGxDErV885haGTAYSWiiJDO2q8lrpqbPS0zz0mNe2/z1km2KpZmISDQarQxqBMPmNoF4LhNVRDQ1ETQaBRNGT6Y74Dw2q31rT0fhw+m83nvlVoDym6v6Vvhmr6PzvNqe+ir/QiqLqOlF+qyv4Pk30l8I4AEAAICe9PDBb43t2eCWh1/6j1JHZ7MSgXgun6yEWEo0k6+JoQLxXD6TNNWhF0WJJjP5nKllIH4maQ/UWhdO5zOm7hQlmsmXcvGwvl/AlOcvT83a0vYG4bRt/rXTN+wzomO9VbS2TbmrygfOPXlsZuP1KHw4nSvpL2RacP2dSq1cJu95tT0wriwodxXN5HP7pOYwvfffSF/xlUr98198YAVmZmb27NnT7VmsfcVi0e/3d3sW68LExISIjI+Pd3si6wJ/sTuGpe6k9bPaMzMzItLv/wz45sXD5j/2y+Z5oDOyMV9ElWimn+vLe0MGHgAAAADQD5zrHToV31+jCOABAAAAAP3AXhFRTHXxR3f3b206zwjgAQAAAAB9IXw0U1MPr4W6+H2LAB4AAAAA0B8CRj08e3G6dRG+i2zs9gQAAK0YHx8vFovdngUAAECnBcLxdDie7vY0uoIMPAAAAAAAfYAAHgAAAACAPkAADwAAAABAH+AMPAAAANDr7vjRq92eAoDuIwMPAAAAAEAfIIAHAAAAAKAPEMADAAAAANAHCOABoC9NTExMTU11exYAAADoHAJ4AABWxS9f6vYMAADA2kIADwBA++nROzE8AABoIwJ4AAAAAAD6APfAAwDQZubE+y9fksdPdG8qELkyLdfn5aaIiGzaJdtH5N4tjZ+6uSBX3pbrS8YfXR9clvy/VZttfka2PSWbPM/ti2m5dE0efV42iciC/PJt2bRVNg/IZvdOvnhXri/J1/Oy/YTc69Im/5Jc3yWPj7oOetlYEP/SgGx+WoJDljf68FW584D1QwBAbyCABwAAa1b+Jblu+uPNebk0LzvcQ1/dF9Nyad7yif7gtsOyzRTD31yQD89aml2/INfnZcfzDfo3LMiledl8wBSrL8nNJbkyLze3uMTPC3LpQoNev5i2vLLFsuRftf50Sa6fla93yaOVaH+LbN8ll87K5karhA576XWf+Y8nni11ayYAuogt9AAAtFPtuXdOwneLEcoOyI7D8vgJefywbBsQEbn0YyMh72zBiN43H5DHT1gevPKqfFFptiyX9Oi90v8J2bFLZKlR/2X5syK7agL1Adkkcv2iyxtdNBq4qf3qwezKv1kWZOD/XNzxjIjIzXm5slxtdu+obBa5NO3hHQAAnUUADwBA27jF6sTwXbAsl+dFRHY8X976vkW2PS+bRWRJri+7PnflbRGRzeY95JUHRa4vGJ99MSs3RWRAHn2+urX+3lEjhr+yIPXdfFeui2wbcfjRnQMi86ZvCkyuz8umXXKnY4cLkv9xvehdFuTKkoh5QeRP9z4ljz4jInJl1tJ22zMi1qgeANALCOABoC+Nj4+PjY11exZA77q5IDdFZJd9H/i2Z0RMcbjDg0siIptrdrBv3iUi8nU5pv36mojI5qft+fB7d4q4p9ArrlwQGZDNTqfx9YEcZrgg150mJiI335UPz8r1Jdm0Sx494DJi+YsJ24JsekoeP2E/ML9pSDbVRPUAgK7jDDwAYKXWQXrZv9S4TQPrYJU86VhJPyMO32n/fNOW6k8dBU9I0PMom2oj8C2ySeTmNbkprnvd9fT7pl3ODTYNyaYLcv2ifXf9FxdFRO7c4rI/f0C2PS3bhkRcvptw+2LC2RbZPCBX5uXKiOXYPwCguwjgAQBVBJlYbY3+jjl/V9JC2K9nyFsLsB1d1w/Gt6M2e4OuysHzF6OWbPn1eWNDQW2Nuk1PyeNP1R1yWb4W4/z8zQW59LYez/uXKmF/jc275MqSXF+QbfV7BgB0EFvoAQAAGtBz5rKrmo6+c6uI0yZz42x8/d6WRETudM9s1+6i1ydQu6GgWden5cOzpg0IS3LlrHz4rkPLhlsVAACdRwYeAFDV2vZm8vbwrv7fsWKx6Pf7OzGPpWYy8Avy4QURa825e0dk07zcnJcPRXaMGl1Vi8DX6X/BKAVfZ3Q9eDbvol9p/n9ZborIklxZkk27jAkXi4v/5deDl+bl5gW5MlSzVV7fqlCzEQAA0EUE8AAAYP2pGz9blC9733zAGuJukR3PyIcX5Oa8fGiq/b75Gfn6gtxs2P/Wug2GZLPI9UrwvCzXlxwK8rVg0zPyaHVL/J/uHZUdIpfm5cqsbLPWsZMtcqd4ug8PANAxBPAAgJXqWFmybqmfFm5hA8KaX7E14+a75dz7YYdabpuekke3yJW35fqSiMimAdn+j3KvGI+49untbrbNu+T6vFxfkHuHjIr6K9o/r6fTnXL4xlYC96IAXy9X78kDAHQXATwAAFiD7twqsiQ3l0Vswae+mbx+AlxETPvhHaN33aYhCQ5Zq9YveO2/vnt3iswbu+jbWD/P9eB9U2cKAABdQhE7AOhLExMTU1NT3Z4FWjz/T9WADtg0IGK6tr1CT4DrP63DiN4HZMeJ5u5R0y97q9O/Q2F8R0OyWUTm5Yu27J/fIptdFsT4RsN9z3+dYnvojJde9730us/Lh6uhkAr5PAilCh2YjEghm4qFYtmmmodMbxAKhWKpbGfmWlc25vP5fN7fpLGC/rLmd3V6VX3gTv2+0H5k4AEAaB2b4XuWfpv6zQvyxVOW0PfKBZFG2exK9P7o8/Xucv/wgu1IuciyXG6YLfd8j92mAZEluT674v3zIlLeklB71t34xqH2Unr95jl0W/0o/aXXfSeeLXVsMt2XPRlJqBLd56FpIRU7mFA126eapmlaRE0o0cyZdDiwGnPshkIqFEzUvquqRdSEkszn4mvmTUEGHgAArEnlnPOlH8sXetp5Wa782KgAv9k9q3zz3cbRu1RuWbsg+fJlbzcX5MNX5abIpmfqJu23yJ1ibFmvz7hMrk375+8dkU0iMi8fTpcXRL5VOSbg0L+emW9H5Ty0zEuOfbXz8IF4rmSRiYqIRDPWT3ssRCykQsGEqoko0WQmn6/OM5/PRBVFRFMjwXamv7spG/MFE5qIokTN75rPZ6KKiGiJIPn2tYQMPAAAWJu2/aPcfFWuL8mlVy2f7zBH5stG1F056K6n6GVJPnQ86bBLHtcz2EOyY5dcmpfrZ+W6ucGA7HjK6UETPbXesDicsYlAmqmZX8cWefSAfHhWbs6X77qTQf2Wd3uBfRHxfNYAq8d7ZL7u8vCNZGN6QOuQZQ8Ewulc+GgqFExo6supo+He+uKhBdlYRBWR2jx7IBBO5/JDoWBC0xIns/F0uEszRHuRgQcAAGvUFgkelm27qh9s2iWPnqibUl6wRuN13Tsqjx4whbgDsvmAPF43b6/b9rSIyPWFRu3Kmwgc9re3ZkgePSzbTL1tGpAdh6u3zZu1sXIe1pFsTD9fXcjGjMPYoViq4Hzu2jhdb86DF7LmQ9yhUChWPcNdSIV8vogqIqJG6p0fL6Re1iNa9z3ygfjxqIho02/ZMtOFbCpmmoDbcXlPzapr4AvFsgXjfeslw62H2C1v7/qI/rLRjMsWiED8TFIREfXl2nELKdMEHabV8Ex95Ry/+ffmtBrelqKF11+XyMADAIC1a4tsG6254dza4FFzIYOh5uoabBqSR1sIccvXvN98yhSZOw297XnZVvN08IS17n1N5/VewbQg9e5HLFfOa6qAH9qo2Y3xvZWEXzhpOn0+tDsgeS9P1Zzj1jRNiwTVaKbUTPK48Na0JiLR43Vz6+F0Pp8OWFtkY6GI5dC8piYi6nQ0k7OM76mZ9WU0NRK8GI3Wn3ft66uR4EX76FbZkwlNREkedW8SiJ/J7w4E7IuxcDJkqhCgqYngRTHn8GvesnymfsH+67j4ciioVVtqasLayNtStPT66xMZeAAAgE7b9ozIklxpmITvki9m5abItpFuzwP9SVNVTUnmmzscX0gd1GPRTOUUdz5jTh4H4jnrAXznwK4cv+9rFPbZQtpCSg9YlWiyfI5cP0OuqRFTqthbM+NlKm+Tz0QVTa2pqGdS3fWft7y9pkbqHNUvXLooIrJzR901ro3ey7+j6uxEREucrIyUjelvafptlPL64tfk8jVNk/K0ja5EPV/uyttStPb66xQBPAAAQKdteko2i1x/u3Epu664Pk/6HSuhJM80e7Y8v6CJiDK6u7rtPRDWC+g1VSDP6Geo3jYVB+W4P5NLx8vxbiCczmWiYg5tvTWrtorrbxMIp/Wd7G6jVzbCV3f9B8LxXD6pOO9+X9nLihhn5iuzOx4VEbl4yRgoe944hBA3HUIIhI8mFRHRFvI1XZWnXdOVp6Vo9fXXKQJ4AOhL4+PjY2Nj3Z4FgNYFD/RoEv6LabkusqPOuQOgPmV0d9Ol4YJDehb4YCxbWHnA5pCTdrzQvpw0d83bh/eZ41FvzfRWtn3txrF7R44PiIgEdo8qTkf128C6Qsbql0PzcNr0xUmhUMhmU6lYzOGmukZdeVqKbrx+PyOABwAA6IYh2bGr95Lwy3J5XjYf4Pa4Lmv2QHsPHYBvkR6s6Wekg0YxNJcSch5Ucskeuaey9dDciEe9NdNb1XyHoEe27rREsOYLBj1krsl5e+3SXeOsfaXwXDAYjEQSCdcTAPW6amIpWnj9dYoAHgAAoDvuHfVUtb6jtsijJ5zr0gNeNTiT7SwQzxl3tOs0NZGIBI2y5d7ZcsmW/s0X1+cdtrR7nHdLr1ePHua2bBUC3EIqFKzUsFMUJRpNJjN5pzVrgxW+/rpDAA8AAACg+wLhdC6nFzBLVkJ5TY0cbOIUtJHJr1ZRa4LHvL23Zs1uApBK3b9aboXYvb2sfrdfE9+DlAvPGSXlcrlcOh2Pu93J15inpWjh9dcpAngAAACg55x4NuO5Zb/vn7cJhOPxdC5XqUPf1CnoclDbVO0z17x9uZ6bvk3cWzOXje3uiWb3bhvxEsHrU9NEPAfgxkmB5FFbzN58qtzTUrT++usTATwAAADQi3Z5aNMX0btTiGYUhCv/SS8xZ7szLBA2TsY3w6iRptfDc2lTyFpGdw+E9ei3vGveWzOj9prpVjZTE8cZu37nkI2ZS+05Paq/rOWqO7NCNhbRK8rXuSreo/IbNLG3wNNSrOD11yUCeAAAAKAHBQfuadCiL6J3EQns2CkiokaMkLqQTdlKmpeDuEjIVLmukDX2cttOnTeKIMPpvHGJeDAUiqXMZe0LhWwqFvIFI/rl5JWOq+PHUkbzQiEVC9miX2/NTC9jtMkaTdzWp/ydQ9D0+pWHosfr3aMXTmfKz4YsFfwL2VQsFIyUL4RrYgN8+UaAk6a5pEK+em/gxtNSrOT11yO3owbAGvPmm292ewrrwu9///tuT2EdYbU7hqXuGJa6k9bPar/55pv9+s+Axejx/1tc/zOX6cacMlERkajz2K4/rK1/Fs3YGruVSFNM3Znb1Dk0XSqVSvlMtF7yXokmM7bnnR9Q7G/jqVntyyjRqGKadc1KuUy3Zvim39W2TvrAtg+N6VbGyjhdeackM9ZmnrpqvBQrfv11hgw8APSliYmJqampbs8CALCaHkgfHk7ucsvDf3VpuaOzWYlAPJdPVmI0JZrJ11QmC8Rz+UzSVIdeFCWazORzppaB+Jlk3bjc1F04nSvl9R5NT+h95ku5dE1VtnBan0C1rX14782Mmvqm983tk7onyMvdVvqtffsG7+r8quXr3JsSTlteUVGimXwpFw/rOymaq8/nbSlW8vrrjK9U6o+NN8AKzczM7Nmzp9uzWPuKxaLf7+/2LNaFiYkJERkfH+/2RNYF/mJ3DEvdSetntWdmZkSk3/8Z8NLrPvMf+2XzPCqyMV9ElWiGouosxYqQgQcAAACANnEuyGcpZ79esBSrgAAeAAAAANrEXrJPTMXgR3evq4JsLMUqIIAHAAAAgHYJH9XLu6mRoE/XUjH4tYClaD8CeAAAAABom4BRBM5ekW0dxqwsRdtt7PYEAAAAAGBNCYTj6XA83e1p9AKWor3IwAMAAAAA0AfIwANAXxofHy8Wi92eBQAAADqHDDwAAAAAAH2ADDwAAADQ6048W+r2FAB0Hxl4AAAAAAD6AAE8AAAAAAB9gAAeAAAAAIA+QAAPAAAAAEAfIIAHAAAAAKAPEMADQF+amJiYmprq9iwAAADQOQTwAAAAAAD0AQJ4AAAAAAD6AAE8AAAA0Ot87+TM/+nYuIVUyOdBKFXozHSyqVgoll3ZjOs/70021nJPhVSsMsPKujl+2LCnxqvR5gfRfQTwAAAAAPpB9mQkoWrdnsWKZGPB2ldw/LBxV62uxhpYxnWMAB4AAACAs0A8V7LIREVEohnrp7l4oNsztbHP0CQd7t60Cpcu6rPLm9bN8UPAEQE8AAAAAHSOMhSsjdEdPwRsCOABAAAAtEM2ph/hLmTLJ7pDsVTBODBuO9ptnFU3n8QuZGOh6gH2UCgUyxYszSOqiIgaaddJdn3QlGlUy5iWVpUz6i4tyl1V5x9LWRpmYz6fL5jQRERLBI1XcPywOmQrq2F9IZ8vZJ6I+4P1hkMPIYAHgL40Pj4+NjbW7VkAAFBj4eTBSOWI9dBuj2nlQioUjKha9Wi2pmlqJNi2QN190IRpVE1TI0F7fbdszBesvpGmRoKx8zVdZWN6V5UPNDVR21VTE2thNcqzMJ1w1zQ1EQk2rPzX+cVHSwjgAQAAALSNpqqaksw3dzi+kDqY0ESUpHEOvFQq5TNJRUTUl1MFMQ7jmw/gt+EkezYWTGgiSrQyqD6mpkZMkWs2FlHF1CqfiYqqqrbphyKqJqJEk/l8uauo3lV550E4XSqV8klFRIzlSYedP2x5NbIxfRam50p5vVm9BxsOhx5CAA8AAACgjZTkmWbrsOUXNBFRRneHKw8GwnoBvdZquukbxOtdIVdIvayKSDSTS1cGDYTjuXxSMUeu2fOq/krlVoFwWo+4qwpvTWtGV/FAoNxVOpeJioiWONlsHrvF1ahMNV59TgLho0lFRLSFfJuHQ1cQwAMAAABoH2XU67b5quCQIiJa4mAsW+jQlfJvTWsiSvKoPZMf2D2qiGjTbxVEKkGx9ZX0JrauJLrP3lV4X1RE5OKlJl+pxdUIp00xd6FQyGZTqVgspB+xb/9w6AoCeAAAAADdVQ6JNTUSDBol4FIrqaLmco2cfeO9UTnOwqgpZ85Y79xh/UoisGOn6U9GBnsoWDMLPYKvk/x2toLVqFTbCwaDkUgioXq48L3ti49VRAAPAAAAoH3s0a4ngXgun4kqlcS2piYSkWC9mu8rpEfdjRhXtHvR0mu7aHE1jFp0+h8URYlGk8lM3r7hv23DoRsI4AEAAAB0XyCczuX0AmrJSjSpqZGDq1hIrVJtzyVZb02119X0Rvn6ml8NoxadGNX2crlcOh03H4dv73DoDgJ4AAAAAL0jEI7H07lcpRR6+Th6exkHv73tbrcH59bEvHtXxgl6h831nnlfDWMnf/KoLWb3tteg6eHQHQTwANCXJiYmpqamuj0LAMCq872T872T8/Jhz3IKcI3Cb+U/pUK2GvEiIoGwtVhcWxkHvx0uSsvGfD6fz7j9zTjFbg1jrZOvdHXeXm1ej9+b3lzf3tUwJuG+Q6ALi4/WEcADAAAAPap+lN4vMbyxD12NGEeqC9mUrTR6OQSOhEzF0wpZY0+4LQBu0171QPy4fstb0DRoIRsLRVQRiR43LlDTb2HTEsHyfe6FbOygra57dfqxlFHHvVBIGT05FLpvNLPWVqNcTP6k6W1SIV/EemV97YNNDYduI4AHAAAAepGX+Lw/YnjjKnJRI0Gfz+cLRhJaNJOJmloE4mf0HduJSKUsfDCS0ESUaKZSOr4cogarGfIVTSudidoG1WvAmcc0TS1YaRKNRi09BeK5TFQR0dRE0GgVTBg9tXCVemurYXwjUV7l8jNKMmO7CL72QS/DoTcQwAMAAAA9x3tk3g8xfCCeyyej5R3ZSjSTr4kLA/FcPpM0lUIXRYkmM/mcqWUgfqbaSzuE07ZBa8cUe5F2JZrJp/e5dlWdvkNPnrW2GuG0ZQqKEs3kS7l4WN8BUU251zzoZTj0Bl+pVOr2HIBOmJmZ2bNnT7dnsfYVi0W/39/tWawLExMTIjI+Pt7tiawL/MXuGJa6k9bPas/MzIhI3/0zoKmwvPS90OrNBEDvIAMPAAAA9JZmk+r9kIQH0AYE8AAAAAAA9AECeAAAAAAA+sDGbk8AANCK8fHxYrHY7VkAAACgc8jAAwAAAL2l2aJ0FLED1gkCeAAAAAAA+gABPAAAAAAAfYAAHgAAAOg5pe896Lll5/bPFwrZVCwU8lWEQrFUtmBvlo35fD5fKFXzAwArQwAPAAAA9KKohzYdjN4LqZAvGIwkVE2rfqhpaiISJFYHOoQAHgAAAOhBm4buatCig9F7NuYLJjQRRYlm8vlSWT6fiSoioiWCxPBABxDAAwAAAD3ozvi376v3861e99ivXDYWUUVESeZzuXQ4EKj8IBAIp3P5pB7Dn8x2bELAekUADwB9aWJiYmpqqtuzAACspi1/nX/4L6NuefgbX3co5V1IvayKSDSTiwecfh6In0kqIqK+XJuEL6Ri5RPzoZhDjr7hmXr9OH0sK4VstaHTwftC1jRStiCFVMjhHL51vFAoVnuAH+hlG7s9AQAAAADOAlu2p7dsT4v43smZP+9k4brsyYQmoiSPhl2bBOJn8rsDAXt4v3AylFArB+Y1NRG8KHnTtwDZWCiiapZHNE3VIupCppS2jHbx5VDQdPReUxPWRoVUKJgwjRQJXozWlhCwttJHiwQvRjO5tPu7AT2FDDwAAAAAN4VLF0VEdu5wzL6X1UbvIpqqakoyky+VSqXKWfnqPvtsLKJqIuUWJaOZiEMuX9M0iRrtjK5EPV/uqpA6mNCk2lU+E1U01fbVgGRj+in+aGW8fCapiGhqJMbmf/QLAngAAAAAbvILmogoQ8HmH1WS+Vw8HBARCYTTx6MiIhcvGaF59rx+rP6M0UL0Zkf1A/UL+Zqu0ka7mq4Kb01rom/xrwymb+o3qZ4DSFfGC4Tj+gF+p83/QE8igAcAAACwCqxZ++CQJTQPp0ulUsnYUF8oFLLZVCoWs+1x99KVHr/btvgH4sctW+gdG4mIBHaPKiLa9FtE8OgLnIEHAAAA4CY4pIg4BtWNNM7aF7Kxg/ZT8E13pW8RqNni7zRvLRH0JRw70RbyInUPCQA9gQw8AAAAgPpq9rSvXCEVClaid0VRotFkMpPP2/e+t4ce5QN9jwAeAAAAgBt9j7mpZJyjbKx8fZtH5cJzRkm5XC6XTsfNx+GbVDlbX4+SrNbLs6EOPfoDATwA9KXx8fGxsbFuzwIAsPZ5ieD1inRaE7vQjdp4yaO2mL35VLl+IN5lAGujVdhHAHQWATwAAAAAd0ZBODUScq7VXsjGInpF+TpXxXukfxPgMaFuTE8vQ2e6oM7ckaWRU7n5bMzn8/lcXg3oNQTwAAAAQK8rfS9k/k+HRw+nM1ER0RLBUCiWLVRj3UI2FQsFI+UL4ZrYAG+kxBMnK7vuC9lUyBdR6z3krBycV75gKGRjIXtHxrcQWiIYSpmGNBpGjzczd6B7COABAAAA1BdO5zNRRUTT1Egw6CsLRhKqvhU+n2suBC7f86ZGgtW+NFGSGecZibWjAAAgAElEQVSL4Ov3pV/7riWCRk+qpkSjtp314XQmqrcyDalqIko0wwl49AsCeAAAAACNBMLpXCmfSUYVxRQZK0o0mcmXmozeRUT/TiBZjbIVJZrJl3Lx8I6dIk3toReRQDynf8GgdxXN5HP7au++C6dz+gtYZ58jfEf/8JVKpW7PAeiEmZmZPXv2dHsWa1+xWPT7/d2exXrBancMS90xLHUnrZ/VnpmZERH+GbDeZGO+iCrRDPXlsaaQgQcAAADQtwqpkM/n88WsRfL1InbKULA7kwJWCQE8AAAAgL4V0Pfcq5GYuTidXlhvdDe16bC2EMADQF+amJiYmprq9iwAAOi68NFMTT28FuriA/2AAB4AAABAHwsY9fDsxekI37H2bOz2BAAAAABgRQLheDocT3d7GsBqIwMPAAAAwJlRIa6RUKqZS99WMJ1sKhaylauzy8Ycato11cBp4FSog6/pSc2UvCwO+h4ZeAAAAKDX/fIlyx8fP9GleXRX9mQkoUp0X7fn0ZNYnPWBDDwAAAAAZ4F4rmSh14uLZqyfrvnj5vo69NRr9uCU0AEE8AAAAAAA9AECeAAAAADtkI3pp7IL2ZhxdD4USxWMQ+e2A+TG6Xrzme1CNhaqHrkPhULVm9315hFVRESNNH+GveGsfbGsZfxQLJU1zdd84NzxddzeKGV6JcsLmcauXbFGq2GbktPiuMzSYZLoKwTwANCXxsfHx8bGuj0LAABqLJw8GFE14w9Duz1u8S6kQsGIqmmVDzRNUyPBjoWaF1+2jK+piUjQeezwvqiIaAt568eFt6Y1EYnuC5c/SIWCkYTplTRNjQSdyszVrtjKV8N5ljWTRL8hgAcAAADQNpqqakoy39zh+ELqYEITUZKZfPlcfT6TVEREfTlVEOPEt/kAfrrNIaimaRI1Rs9nooqIiHq+TgRv+6E9NM7GgglNRIlW3kh/IU2N2KPwmhVruBo2jovjOMv8AvF7nyOABwAAANBGSvJMs6XV9MBSGd0drjwYCOsF9DpVpk1J5tPG6IFw+nhUROTiJcd74xxiY1v8Xki9rIpINJNLV94oEI7n8knFKQq3rVh7VsNhltnzqhC/9zcCeAAAAADto4x63TZfFRxSRERLHIxlC126a33nDvOsjQnZ98kbamJje/z+1rQmoiSP2iPlwO5RRUSbfsvykvYVa9Nq1MyS+H0NIIAHgL70zYuHuz0FAADaRQ9sRTQ1EgwatdxS9opvq0oZCjbR2hYbOx8t1xJBn10woYn7FwOGdq2GbZbE72sBATwA9B89en/g/zrV7YkAAFDDmsr2KBDP5TNRRSn/WVMTiUjQ56st3N4b9CS5scW+Jn7X98B7VrNi7VoNSwRP/L4mEMADAAAA6L5AOJ3L6fXakpXgVVMjB53qtjXicnpdRAqXLrY8xSrzXni30u6VwnS1Gpfga89q6BH8xUsF4ve1ggAeAPqMefM8G+kBAGtOIByPp3O5SuV1+4nxBuqfXq9UiGtqx7zTLCsRvEP83mgOzYyzstUI74sas7x0UYjf1wACeADoJ2s0Yl+6ffZf/vTi4W9ePPzNi4f/dPZnt6818fDts4e/Sf6spP/h4zPfJP/lT2fP3H77o1Kd4d7+2a2z//KnF8/cdm3z0a0XD39z9qMWJ3ztZ3968fCtj5t4CwBw88uX5JcvefqwZzmFs0bUW/5TKuTz+ey3nAfCxlnwphgHyJ0vXCuXh2+l0J7jONr0W2/VXs3mPodszOfz+UJ10+jtXI1yBH/y5LRG/L4WEMADQH/r/5D+o1svTt764Gol3i59MHPrX+uE1lYfn7n1gWz4+3/wVT757Grpg/dv/fQnt93i54//162fztw2jVjr9tmf1I3tG0146z9seExuT3l+CwBwUT9K75cYPrBjp4iIGjFOcBeyqZBezK3Swgh4IyFTrbZCVr8O3X5E3H13vKUzLREMWaq4FwrZmDFu9Hgb7qYzIvhEwmFreiB+PGrMofpGhWwsFFEbD9/UatjULo4ewauq1oZtB+g+AngA6Bv9H6s7MELl+/ds/OdX7/jRq3f88w823i8i79+qJNXr+ejW1Pvy2A82Pmz9+P4HfCK3P3LOn9/+6H29gYul22cP3/pgpRPecOAHG+T9W645fABozEt83h8xfPhoUhERUSNBn8/nC0YSWjSTiZpaBOJn9A3iiUilcnswktBElGimcmC8fL1asH4SOxDPZaKKmKq46/0FI6omxoXv7XitQDUlXpvaDqeNOVTfSB/f/EKuL+BlNWxcF0f/gbRl2wG6jgAeAPpeHwf21352+wMR+c7GxD9s2CoiIlsf2ZD4wQYR+ezf/9xoI33p7cxteWDj9x+p+cn9f3G/yAe/cUqAf1T6QHyP/K3j//8rffyzW8nJOtF7MxN+ZMN/e0A+yDR1HAAAKrxH5v0QwwfiuXwyWo52lWimNoQOxHP5TNJUeV0UJZrM5HOmloH4mWovdYXTuZKtu3KHpVwbsu/GfMoRvOPW9HDa9ka1L+Tes4fVqHnEZXHKsyR+XxN8pZKHDAfQ/2ZmZvbs2dPtWax9xWLR7/d3exZrU/0o/Y4fvdqxmbRR6e1/+dNPr8pjP7jjwCO1n/v+27FvPT3g/vRHt178ye3793wrYdo///GZb6bel/v3bHzk32/99OqGsVftyfmPz3wz9dnGf46U/vUnt+U7G390cINtMiK+x37wvz3ymz9NvV+ZWOUvdnMTvvazP/3rTKmmMergf0M6af2s9szMjIj03T8DmgrLHz+xavNA/yukQsGEpiTz7fvqAl2zsdsTAIC1rwMZ8pUP0ZWvAP68dFVENjxij299A/eLXC0tLYm4BvCltzO3RXyPPOq4Gf4vdv6t76dXb3/00caHLZ3f/uh9ke/IVpdO7//Oxr//PzY8PCAf/6YNE9766Ib7Z259kLn9/Uc2uI0IAE6aTar/8iVieLjR6wWSf18jCOABoP36cU+7bc4dieeXZElEHvBtqfnJlvt9IqWl/yjJIy6H1Zf+/NFVkQc27HSJ8I3g+Te3DzyyofrpR6UPRB77mw0it2qe8D393+94ur0THviLRx6Qz67evri0od5WAgAAVkshezKhtalsH3oAZ+ABAP1oqfSZiNzvmkvXg2d5v2SqRa8n7Wvz56vHN3C/iJSWljo2IgAAOv3GumBEFVGSR7k/bo0gAw8A7WdLX/dFQr4XT9F/9tmfRTY4/ujj39wWkfvvr/M9tL6t3bSLXk/af8f3sPszK1Q7YT0zb98IAADA6htSRPTK9WdIv68ZZOABAL2qbnwuIjLwX91vgxN5+G82iKkW/bUPb39m7J9fLbUT3vpf+X+0AFrQ7IF2DsCjVjieK5VKpVIuHSZ8XzvIwAPAqms5ud1a6r4Xc+ntVlr6zEOrR3yPiXzwfunjg/KwlC7+e6mz++dNPpNr4r7bHwAAwBMSAwCAbhmQARG5Wlqu+cnyZyVplGD3YMMj3xGR2x991Kb986s+YQAAgDoI4AGgR7V8cr4vjtzr/mLgARH5c02NNz3B7htwrdyuF4drrLKLvk3751udcJ1iewDgzPuuePbPA+sHW+gBoEc13AlfLBb9fn9nJrNKfDv/1vfTq6Wf/q/bTx80X/Z2+6d1r4gTL/fM6QZ894t89lnp55+1Zf980xO+9h9/XuGQANaxzSLXG7XpSPSejfkiqtsPFUXZefzMOjhmra+CksznergiXKGQfevky9OqphkfKEp09PjRuO3X0xfvAkdk4AEA3bP10Q33i8j7t5Jnbl8TEZFrH91O/uS2iNz/t39RJ2utF4f77LNG4bF+mdzV2x+0qf58sxPWt9avauU8AGvXJvevMXU9kXvXNE2NBH2xbLcnsu4VUiFfMBhJVKN3EdE0NREJ+kKpQvcmhnYigAcAdNHAhud+sEFEPnv/1r8e/ubFw9/8609ufSYi39mY+IfGqXW9OFxdvp1/a/TTsKb9Kky44VkAAKhj29N1f7yrQ9Moi2ZKDvKZpCIiokYI4bspG/MFE5qIokQz+Xz115PPRBUR0RJBYvi1gQAeAPrSxMTE1NRUt2fRDlsf2fjPP9j42AOVD3yP7fnWjw42SlkPbPj774hcvX3Rfhy9pn89Zy6+Rx5tT4W5JiasV86rexYAAOoYkkcPyGa3/wm5Jjc7OhtngXA8l08qIqKeJ4LvlmwsooqIksznculwoLotPhAIp43fj5Y4yS9oDSCABwB029ZHNhz473f86FX9P986UD/3Xvbw32wQKX30Ycny4cE7fvTqHZZk+MCGxKt3/OjVbz1t/ifwIxt/9Ooddb4m0Ps54HJm3uOEjcp5kQ1UsAPQqk1DEnzeYav84yfk8edlUzem5CCwY6fj54VsKhYK+QyhUCxbmwMuZE1NfCHnRt66srfy+UKhWMraMBvz+XyhVKGQjRntQrFKZrqQTcUajiEihWoz09PNzLbONDwuiHU+L6siEs24nGgPxM/oX7G8XDvZRu/ScEmzMZ/P54tlLROvWXfjxSo/zhakkArpi9Dc0sFpIwywBr355pvdnsK68Pvf/77bU1gvfvjDH/7whz/s9iy67M8//x//+cI//X8XV32g1v5i33rtn/7zhf9xa6nt01nL+N+QTlo/q/3mm2+ugX8G/OK45T+dlYmKuG2hr/7c1kBP+9oplkbObWqG8tJVqaTvFW/QWyYqIkrU1FRJ5t0HKf+w+paWZ2sbeZyt2zQ8LojT8ttmYZfPm3/s8V28LKnRlVLb0jzp2hczBrcM6O0Xvc6RgQcA9Cvf05ENIrf/n5+VGrftvI9KH5B+B7DmFQrZWEgvUR/dF65+no3pJ7KjmXJ8ph+W10xn5QupgwlNRElW2pRP1FtSxV660jeR2zor5fXgsibxrKmqVgkc9ay1MZfq8/qztdvO9Wf1RpXz5SfN8/AyW+dpeFwQ+6/g0kURkZ076taTDwRqf9zgXZpaUk2TaHXp9LII522/aTEPpqmqZumimaVb11b6DQDQJ9bAV+99Yf3kc7qODLzh4v/sQBK+hb/Yt177p/984X/eWo3ZrGn8b0gnrZ/VJgO/YkaGvR5r5tbIpNZkTvXPy229ZY49deXWV83TxqvYGzqOYtt44PiobVyPs3WZhqcFqdHKU17exeOSeujKaVXKyfaml27dIwMPAOhnDx/c+FjvJeGv/ez2B7JhrGEpPgDof3rZc8vp68Jb05qIkjwatrUN7B5VRLTptwoiIsEhPed7MJYtuOWXPXYl4XSpVM6mS6FQyGZTqVgsFExo9h5FRJTR3ZZ8tD6KdQ9Buc+0bWRrptt4h4V8U7N1mYaXBWmreu/S5JLW6cpxVQLx45avhZpcunVsY7cnAADAimw48GrPxclb/+FbP/qHbk8CANormqkGs4Vs6mBE3+59xqVymmiJoC/h/JOFvEhAArtHlYSmiaZGgqqIiBJNju7bHQ/X9NewK2NSsYMR+75sT/ILmogoQ8HGTT008jZbB94XxCw4pIi08tYe3sXzktbrSl/dmi3+TvNueenWETLwAAAAAJpSuTxOSwR9NQeU9YjNQy/xXD4TrZY/09REIhI0ipQ315UUUqFgJdRUFCUaTSYzeZeicM7nxRucIvfA82xdBvSwIG4qifP2aWpJV6rJpVvHCOABoC+Nj4+PjY11exYAgPUrEM8ZFc2ca4zVObZc3ZYeCKdzuVKplM8kk5XIVVMjBy1F0hp2Va6SZtQ/y+Vy6XS8Qea6xsVL7dml7enF3XhbEMsTu0cVMZeMc6RfXNfEpWxtWVITT6u7oqVbJwjgAQAAALQinHYM4W2Hqb0IhOPxdC5XKbtuOyffqCtjD3zyqC3A9JjXbWHCq9qPuC+IU1MPEXz2vCoiWhO70Fe4pCb6qrgMYG20CvsI1hwCeAAAAKDXPX7C8p+eET6q76i2hPDliLL27rNszOfz+UKpgogUUiGfz2ffgB8I6w831ZUbPWxtnP11DoGdJ+iln9Zm62lBHIfVC8KpEZf+C9lYRBXHEnFN87qk5unpZehsN/KVO7I0anXp1hMCeAAAAAAtCsTPGCG8KfQyIkotEQylKpu2KzfGR4/HA1IN2SKmNlLIGju3y+fDPXVVqd9+0tQkFfJFLDFivbeomUtlIrbS9I1Ww8tsPU9CHBbEkbEVQksEQyFLCftCNhULBY3w/Uzd4W1WuqQmphcrL66xIuZGK1m6daX+LXPAmrEGLoDtC+vnVuFewGp3DEvdMSx1J62f1V4b98B3le1C9Bo1d3rrDznmjRVzN24F0RT7heyNu3K8q15JZhxvLXd6Fee5mFo63ovucHu599nWTsPjgjjKuwwsDtP29C7eltTbstS+mBKN1lzw7mXp1j0y8AAAAABWoHynt2WXdDidy2eSppLqihJNZvI5czGyQNzWxqmRt67C6XwmGTW3yORLuXh4x04RTxu+y3Ox9tBC6TQvs200iQYL4vxsOJ0r6U+bwmD9+ZLbXX/1rHhJzZPT6+uXu4pm8rl9tXffrWTp1g1fqVTq9hyATpiZmdmzZ0+3Z7H2FYtFv9/f7VmsF6x2x7DUHcNSd9L6We2ZmRkR4Z8BQE/JxnwRVaIZ6ss3hww8AAAAAGB1OBfn04vYKUPB7kyqfxHAA0BfmpiYmJqa6vYsAAAA6groe+7VSMxcnE4vrDe6m9p0TSKABwAAAACskvBRvdKdGgn6dC3VxYeIEMADAAAAAFZPwKiHZy9OR/jego3dngAAAAAAYC0LhOPpcDzd7WmsAWTgAQAAAADoAwTwAAAAAAD0AQJ4AAAAAAD6AAE8AAAAAAB9gCJ2ANCXxsfHi8Vit2cBAACAziEDDwAAAABAHyCABwAAAACgDxDAAwAAAADQBwjgAQAAAADoAwTwAAAAAAD0AQJ4AAAAAAD6AAE8AAAAAAB9gAAeAPrSxMTE1NRUt2cBAACAziGABwAAAACgDxDAA0DPeel1X7enAAAAgJ5DAA8AvUWP3onhAQAAYEMADwAAAABAH9jY7QkAAKrMifeXXvedeLbUxcl4U3j3VwfnF7UlEREZGEw+/VB86O62Pbh8NTX7SWL+S/1Pyq6Hjo88GN7ieXILv/Kd/Sp5+PvxLSJyNfbSJxcH7t656559Q66dFBZ++9bFL6evLe58+tn0kHOb7PTrkfnBzInvhhsM/1XqxxcSS/eUJ2D6cOtwafQBz68BAAAgImTgAQArkJ1+PXihHISLyNJi4uyF2EKbHlz+bejVuUr0LiLa/CeRV3/upX8REbkaO7soux4yBc9fakuL6oVPIrNX3R45efaTxLxpYrUWfhWZ9zR84d1fJRz6uTv+9KDMz3l+CwAAgDICeADoFbXn3nv8JLwRyt6TPPBM6cSzpRPPZJ65R0TUsz9PLa/8wa9S//aJJqLsGs6feNZotusekS/Vs7/KephddnpOlcGMPdF9jzIgMn/FuYeFK6rewEVh4Ve+s4seBhdZ/u3BC186/2jou5ld4vEtAAAAqgjgAaAnuMXqbp+Pj4+PjY2t5owa+Sr19qKIRA98v7z1/e7wU9/P7BKRL6cXvlrpgwufJJZEBh46M/pAwPjo7vDod5MDIrJ4vmH6evm3L8+L8sxDtbvcd269x62H7MVFGRgc3erY4dXU9M+DHqP38rcPbsIjDymy+PK7dVYJAACgBgE8AKAVy4vTSyIyuM96UDw88pAios0vFlb44NB3SyeeLT3/YMDS6u4djtF1jezsJ5rcM+p0Gn9o56Aiol6s3UV/9fy8KLsGd9Q+8/8u7dc38w8MZg4PRxuNbmye3/VQ0i2Zv2VwdEC0C5+QhAcAAE2giB0ArEgHdrnXG+IDTz2sRjG85S81Edm1zZ7i3nLPThFt6cu8SMDpudYfFBH56tI1EblnqH4du+XfvjwvMjC427HZlsHRgU+0+SvZ0Qcsc1i4oopEt9wtzgfg74k+89DRpx4IyNXzdQeXhV8FL3wpMpgZHbz0409cGt29e9c9iaXFl9/9KvyUp5p/AAAABPAA0KQeP5fuqHbOKw7pC8tfiYgyUBt83j00ILL01aVlcaz03vKDsnw19m9z6pJY69I5DbGwqIkouwZdvggwgufzCxI27QLIXlw09gVcrHnivwycO+H31xuz4mrs7KLIPcnD3w3LV5fc2wWGBpULX2rzi4WnHnT/wgIAAMCELfQAgF638CvfS6/7Xp1Tl0R5Zjjf6AK2/NKXIrJzi2tmOzBUs4teT9rX7gtoUnZ6ThVRnvlu/a8YRIwdB7L0ZX5lIwIAgHWEDDwANMeWu+6LhHwX7pP/cmFZxPuF7XUfLCx/pQzcI/KltiTahbmDSw+dGa2Ttb56fl4abLPXt+ubdtHrSfvozpXdza5X1x946IynXfH6jgP7RgAAAABXBPAAgFXQ6Jh6Mw8Gnvp+7ikREVm+mvq3ucT8J0G5p9QgD3/3jnoTeGDfLlHnK8HzV2/Nf1lbV685y78N6Zvn/9Hjlvi7d2wVl/P2AAAATgjgAWBFVpLcbiF7bx6uWCz6PR7MbtnV2Etzqu2zXcONgudVs+WB+PPDCy/NqfOfpEYecN6mvvxl7Rn2WuGdgzK/qF68mh56wCiMv6L98+Vb671snre6uPyVCHXsAACABwTwANCXJiYmRGR8fLxL4we23C3ypbZUG3x+tbAkdRLgLT9Ypu88b3XeFUPborKozl/Jjj4QXPn+eeNuPNEuXPBdsP3sy8SrrydEogeeTbNVHgAArAQBPAB0R2uH51963dfRA+0PpE88m3b8yZZ7FFnUrn1ZkAcsO8b1BPjAPUG3Lr09WHj358ELX7aS7dfPtzduV9lF/9XQyvfPr0CdYnsAAAAWBPAA0B1dKCzXVvpt6kufnFx40JxYzs5+UvcKN68P6ol6cbit/ZNEg0R9o+voyoID98j8lxcvfnJxpfvnRbY8mDvxYM2nX6V+fCGxdE/y8Ped9tXrd9oDAAB4xjVyAICW3L171z0iop79eWzhKxER+Sr77s8j8yJyz+hQnayytweHHkoOiMhi5Me/yi4bnxUWfhU6uygiyjMPucfbd+/YKkY1+7r0y+S0+XbUn2+FfmSga5l/AADQf8jAr77FuXPTr733abFYND7w+/3ffvK50f3Dg92c1srNndo7OSsjx944MiyyeC5+aKroHzud2r/6r2UZGUC3BJ76bmbpQmT+S/XsBXOhu+gBc8JZz0KL8swzufLlat4evNuoV7e0GHn1dfO4yq7hXN172ozUesPicMZeAFlBzfwVaHjWAAAAwIYM/KpaPHcqvvfQ5NRsNXoXkWKxODs1eWhv/NTcYvfmBgArdnd49JnMM4NK5YOBweRhL6XaPD74QPrEM5ld91SaKQODyQPP5Bqdig889VBURJtfLDSahr4XQAYGd3c8gNdvnq931gAAAMCGDPzq0XPSIuIfGXtu9InhwXJmenFxbvqV12aLxdnJQ7JWssiD+1Nv7O/2JAB03t3hp74bfqpeg/jzz8ZbebDcbPT74dFmZ2UUqHtr+UFTSt+hIF/gqe+XauYQHn22VG9E98J+dm7vLpWb54/X3UoAAABgQQZ+tcydOjRVFPGPHDudOrK/Gr2LyODg8JFU6vSYX0RmXztHFh4A2i088pAiXyZmr3Z7Ii4WPkks1T/JDwAAUIMM/OpYPPfarIj4x1444nbSfXD/cyNTk7PF936xuN9ybFw/Mz9rbLr3+0ees3ZSOQA+Kqdeec1o5x8ZczhV36grvS//2OkXtk+/MjlrbBd44Yg+H+vTIn7/iPvRfesZeH2OjqzH5BvO0Gh1ypie+EeOvXDEuWdgfRkfH7cczoHVlgeP7/okMv9JauQBpwrwXZa9uEj6HQAANI0AflUs/uK9ooiMPFe3oNvwkdOnjwxaW1T23ZcVi7OThz4dOZay7bT/9LX4IdO/3YuzU5Ozly378T13JZenX5maLbfc/sSgiMjcqfjkrDU2KBZni/ZBVsTbDK1fBhRnJw/JyEh7JgBgLQuPDkfn5xKzV+PN3iS/2hZ+FZmX6IHvkn4HAADNIYBfDeX4XWkU6Nqid9O++3IeenHu3CuTU8XZyVOKNW4uFosycuz0keHBaoJ6Vps7MjzcfFezs7a8uMydmpwtivjHjr1Qybgvzp06NDkrs6+dGx1uVGl++Mgbb1jz5Eaw7h97ofystxnOnZqcFVMrfRYu2X0AMHsgfWBQPdtrSfivUm8vyq5hD6X+AAAArDgDvxquXC6KiH/7tuYeM/bdjxxLVXeRDw7v10/L1xyW94+dLjcbHD7y3IiIyKeXF1vpyhxWi4jInGYcADDvlx8cHh3zi0jx8pXm3ksqwfrIscq3BB5nWJmJ6V316gEA0NjQd0snvt9L0bvole1KvbYpAAAA9AUy8Kvn29trz3Lb94yLVA+F63l7/9ioPW8/+MST/qmi/bC8tftt2/0ixeLlKyLNd+V/8gnrVC0J9MXFxStXfnFZu/ze7Gxr5231LLp/7HQ18e9xhkb8bp2f0aSlqQAAAABAvyKAXz2fXl4Utwp27opTh/ZOOf/EiM51HvL7XrtyZioctyKL5+J6+P5C7b57jzO0fxUyuP3bIgTwAAAAANYXAvjVYE2Hm9guS7cm5PWN923RZFe1ewUsM/P7/d/+9pPblSeeuPxK7QaC+mr3zjczw8XLnzY1GgAAAACsXQTwq8HY422uKeeZrZrcSrTc1eK5V6aKIpUieZXPLzfbT7xm73xTMyTVDgAAAABlFLFbFYNPPOkXp2px9Wzb3mqJuHZ3ZRThGxu1nQBoLrHvlnxvfoaV2nwGEvOAiExMTExNOZ9BAQAAwJpEAL86Bvc/NyIixalXTs25xfCLc/ptc5VnXKP+uVN79+7dG/f+bUAbuzI/q+m3t9njaefG+vVvI8eck+8eZzisjIhI8b1fmFstWtcNAAAAANYFAvjVYtx2VpydPBSPnzo3t1gNQRcX586dig+UutAAACAASURBVO89NDlVFBF/5QR6Jeo/FD9XCfsX507F9VD4uSa2w6+sKyM9PjVtevRcfO+k59vXG+6d9zxD/eq64tSh8ncOi3OnXmnyHD4AAAAArAWcgV89g/tTp7efemVytlicLU7OOux09Y+MPTdqvmp9+MixkU8nZ4vFqclDU9aWLplsVyvpanD/cyNTk7MyO3nIHLP7x449+d7klFN1Pqu5aT3EdikyP3LsjSPDXmc4uP+FsfcOTRXNfY2MjMzOev42AQAAAADWBAL4VTU4fCT1xuji3C+mX3vv02KxWtZ95MnnRp8YHqyNgoePpE4r56Zfe2/WaK233d/8fXQr6mr4yOlj26dfm5qtPPncC0eGB2XuskixxQvyWp2h8UXIa3oj/8ixF47INPE7AAAAgPXGVyqVuj0HoBNmZmb27NnT7VmsfcVi0e/3d3sW68LExISIjI+Pd3si6wJ/sTuGpe6k9bPaMzMzIsI/AwCsAZyBBwAAAACgD7CFHmuN/i27o+opBqwm1rmTWO2OYak7hqXuJFYbAPoLW+ixXrCFvjPWz4bMXsBqdwxL3TEsdSetn9VmCz2ANYMt9AAAAAAA9AECeAAAAAAA+gABPAAAAAAAfYAAHgAAAACAPkAA33mLc+dOxU/N9eyIc6f27o2fW7T2cO5UPL7XED91bm7R5WEPfe91nUmjURbPxes8DQAAAABrGgF8x81NT07NdvTOlqZGnDs1OSsjz+0fNH+099DUbPWemeLs1OShVuLouVOTs3V+2HCUwf3PjcjsJCE8AAAAgPWIAB5mevh+7Miw7SMR/9ix02+88cYbb5w+NuYXkdlJe5a+vsW5U3vrhu+eRhk+cowQHgAAAMD6RACPqsVzr82Kf2x02PaRyMix1P5hPSk/OLw/dWxERIrv/cJbBL84d+5U/FCd6L2ZUYZHx/wy+1pTXx4Aa9LExMTU1FS3ZwEAAIDOIYDvpMVz8b1GGnp2cm/lNPjcqb1798bPLS7OnYpXzn8v6h/bT6MvnovvtR0jX5wznRzfG4/HT1XPjruM6Gxueqoo/iefMO2eX/zFe0URGVGGLS2HR8f8HiP4xXPxQ5NTs0Xxjxw7fWzEuU0zoww+8aRfilPTJOEBAAAArC8E8D3j8vQrk5WT6tvNUXQ9i+fihyZNJ8elWCzOTh5qodSbngW3xu9y5bJTZC0yuP3bIlK8fMVT1/6RsWOnU0eG3d6puVEGn3jSLyThAQAAAKw3G7s9gXVlcH/qjf36WfCRY28cscSrxdlZ8Y+dTlWrx3kIjhfPvTJVFPGPHXuhvPd8ce7cK5NTxdnXzo0O7x+sN6Ktq1+8V6yJ3xcvfyoi/u3bappv2+4XKX56eVFcw3LTOzd4iyZHGXziSf9UsfjeLxb37/f4PQcAAAAA9D0C+N7hH3uh2XhUT137n3yiGt8ODjeOmN27+vb2foiIB7d/W6RYvHxFpB+mCwAAAADtwBb6nmFLfnuybbtfRIpTr5yaW1zZhvI5bVacs+D1eN1DvzK1o+jvPatxDh4AAADA+kEGvq8Zm8mlODt5aFZExD8y9qTyxP4G29pdNZuAbzbgb03tKHoKvgNDAwAAAEDPIIDvGS3tXh/cnzq9/dQrr5XL2BVnp4qzU1PiHzn2gnvRuFr6MfQWOd3w3uDEfXt4OIIPrFe+d3Kl74W6PQsAAAC0E1vo+97g8JFU6o033jh9bGxsxO/XPyzOTr7Shirt7sXm23lkvjOjAGvN+Pj42NiY44987+Qq/xcAAABrBhn4NWNweP/+4f37j5Tr0DdVpd1tT7pbsXlL4fjhI2+8cWQlU/c0igMiewAAAADrCBn43mVUqLMkpvXL3ip/Ohffu3ev/c73weEnnvS3Ntinl21Ze/3O9eLUtHWIuemp2jvnWtf0KCva8Q+scebEO0l4AACAtYQAvktqQuVa+s5ymZ08NbcoIrI4dy5+aMqcJtcDX5mdjJ+bq3S3OKdfDm/PT9cf0W0be3UIYxayOHcuPjkrbYzfmx9F31o/oqz6KXsAq+7r1MIHoXdyvndyvndyoYXL2RvtfLCwfDn26w98RrMPmulfRCS7kPP9+nJB/8Py73y//iC08LvUH64X3GeV/cPl2MIHoXd+l3Vtcz32Ts63cN3xZ40nfONy6J1cbLmJtwAAAGsGW+g7Tt8vXpw6tHdK/GOnU+673IdHx/yzU0Upl5gXkZFjx2SyWjFucP8LY+8dmioWpyYPTVme9Y8cqxSR8zSi2zb2wf0vHLt8aHK2aJqFPpM6M29ac6M02loPrF+1KffermZ3PfbOb1XTn7Vrf4xc+zrzvb8Ot+PB7MIHkWvm8PeGdu1G5Nr15N89Fr/Lw+yWfxe5JtGHtwcqR4xu3NBu3NDk84U7Q+ktjo9cjhQ/FxGRTW69ZhcsM7f+yMOE79p+fOsfIx//bl/jVQIAAGsNGfiOG9z/wtiIty3ug/tTp6tt/SPHTtdUdh/cnzp9rFq8TkT8/pGxY6dTppaeRhzc/9yISPG9X9Tk6QeHj5w+Zu7APzJ2uu015psYRT9H0MYNAAC6wwhl7/rLzN+FSt8Llf7uweRdIvJ5pJL0XsmDy7+LXLshclf04b8pfc/c7Ebi13XS4xXXYx9/LlsftAfqd92liKjLzvnz7PLnegMXX2cXcpFrLj/0POHw0INR+TziksMHAABrmK9UKnV7DugRc6f2Ts7W3xTQCxbPxQ9NFZu/p25mZmbPnj2rNClUFItFv7/pIgxojW2165x478Uk/I3LoV//UZP7rGlzPbV+V70kuacHv079+jeJGxJ92JYqN1L3NZ/bFf7wQbAolWkUi0X///4n38efy133ReVz9cZ9TtsErsfe+e1F/1/uLP5RtU9PCsuXT376R7WSX9/6YGlos+nnzU3YNr21hP8N6aT1s9ozMzMiwj8DAKwBZOBRMTw65q8tJddr5qaniuIfG+X8O2DRd/XqCp9f10Rk633WMHjzUf9dIjemP/96ZQ/eXLghIvfts0fpm/dtFRG5+LVr/yIicv1k8YbctXm3Q3h8576td4l8fr72FPry56rcNXrfnQ5z/sMHwY//qN4QZeuD+YfvcxqxuQkH7tusyI3EH0jCAwCwvnAGHlWD+58bmZqcfe3c6HDPJuHntFmRked6dn5AU9oQdf/haocGKmtXMj9/44aIRLdstn0euHOTyA3txk0Rh0jY84Ob098LpVudW+EPl1URZevmgNNPg/dtVoo31OXraescssufi9y34y5ZcOz0rvuS394e33KnLH/u9OMmJ3zX5tG7/qhdu5z6q81rLwkPAADcEMDDbPjIsZHZyanpuf3tPuPeHnOnJmfFVJ8P6Ct9lyR3VPsWLYX0X1+6ISJ3DdUG6XfeqYhoN74uiGP83PKDuuvnr4m45MkrQ7x17Ua9Nkbw/Hl2aLN5D//5a8a+gPM1TwT+6rHSX7kPWI/bhO/cvfWuRPHG9Odfx++q8y4AAGBNYQs9rIaPHBuR2dfONbzlrgsWz71G+I7/v737iYn7TPME/qDJjhYjjXZNbB+Mu8MK3C13rJxGSYNaaVq5QEdRS2N5lDm4b6BIUSCHnosnYlA6l84hEEWy4NYcJmrLh8hywyVqT9SC6SjS7kRkUbdBqu4YHwjBu4fFSDsH5lAUFNRfiiqqXvP5nKKf663fU6gO+dbz/p4XjiHbWo/zl8p2rbO72dsvl3zNmZ8W7KLPvnPhvoBjKlNwz5n2iFjc2q7vHQGAVqYDz2Evvn33brNrKO7itam715pdBNSusFOdYk/+hObhbT1ZiSjdSK9p4cafejNbER2T3y0bsze+nYmIjjO9pV+S3a6ft4s+27QvfIL9eMoXnN1xcHgjAADwNNOBB6D1lM3PtSzc+FP///42omP4B9VNbu84U+7ng3PPDkfEN9/unu62tXl7q3Cu3vFULLjjzPN1vB0AkAIdeICmOU43e2JiIiL++eVXTvKmiVr9y7/vtrKrOHdt9Uk1m9I7f3Y+Zr759pON7w2e2x2MX8f980cpePvBVgyaYwcAp4MOPAAn78zljojYWi48ze3Jk8Uo0wA/8sL55SOk9+oNnns2ImY2Nuu+f75BBQMATwEBHiBVNbTfo2UevO/t6Ihi57FnG+B9He31WPhkfnlh6Jut6Hh27sfVhuHscLjK9nbR13P/fA0Flxm2BwA8bWyhB0jS+Pj4jUymu7u72YXUqOfZzr7M1mLm4fx3v5d/GNv7mbJHuB1l4fzy/xr6JqLjOyt/e+kI8/CqOo4uItqvdERsbX/yl+167Z8/WsFbT746/i0BgKTowAPQDB2d1zsi4tuhL/40vxUREVubU1/8cSYiOjp/WqarXN3C1b/8ey3pPXLD4baerFR4XfYwua2ZOu2fP3LB2UcG6js5DwBobTrwADTFmdEr31/+4o8zW98OffFt3vVn5/IT7NbD/i++XjzwQHg1C7MN+Yitr3v/9esiNz///Z0rpXrmu631isPhdvcCxDFm5u87csEVnzUAAJ4+OvAANElH5/Tffn/y/H5K7jv/nZUff69yS7niwuxZ7jU6M/rcsxFbt78tHJR3uIzrHdm7l99sX4UjF5ydnFfuWQMA4OnTtrOz0+wa4CTcu3fv1VdfbXYVT79Myk9lJ8dfu2E2R/71jzN5u9lb7k+d3ZhQbh9BqlruT/1UOz1/7Xv37kWE/w0AngI68ABwSOcvujti6+v3N5pdSAnzf/l6MTomv/u0pXcAoDwBHgAO6/nupeGImT8/XG12JcVsfvJNxPlLTokHgNNGgAeAQp3TP3i2NZvw88t/nIln5566zfMAQEUCPECSJiYmZmdnm13FU+3c9+bOt14TfuvhL7+J4R9UMeoPAHjqOEYOAIobvNKfHfSaaXIheTouLfz4UrOLAACaQwceAAAAEiDAAwAAQAIEeAAAAEiAAA8AAAAJEOABAAAgAQI8AAAAJMAxcgBJGh8fz2Ra6HQzAAAaTQceAAAAEiDAAwAAQAIEeAAAAEiAAA8AAAAJEOABAAAgAQI8AAAAJECABwAAgAQI8ABJmpiYmJ2dbXYVAACcHAEeAAAAEiDAAwAAQAIEeAAAAEiAAA8AAAAJEOABAAAgAQI8AAAAJECABwAAgAQ80+wCAKjF+Ph4JpNpdhUAAJwcHXgAAABIgAAPAAAACRDgAQAAIAECPAAAACRAgAeovz+80+wKAAB46gjwAHWWTe8yPAAA9SXAAwAAQAIEeIB6ym+8N7QJPzExMTs728AbAADQYp5pdgEANNPa7dhciu2IiGi/GpcG4uy5Oixc+yjW1sstv/xunK10i8e348E38cKb0R4Ry/GH30X7+ei8EJ0vR3upJZ/F5no8WYpLpd9/5Z3YvBovXS9504e5zxUXovMn0Xsl75834ssP48zrBy8CAJwIHXiAuilsubf4k/Ar78TaXliN2F6KBx/G40YuPILleLAUnT/Jy+rrsb0Ua5/G2nLpJZ/u/6xQ1OPbsVnq3zZi5Z14kL98PTY/ji9v573mXFy6Gpsf1/vDAgBUQQce4JTajbIX4vLfx9lzERux9ptYW48HH+Wa3sdY2PVmdBWu3IgvP4ztiK63KrffVz6OuFrQ6L4Q7eux+VXxBvjjr3ZfUCrAP74dD5ZK3nHtNwc/V8Tjz+LBp7G9FH91ef9lZ69H51I8uF2yhw8A0CA68AD1UarZ3qJN+I14uBQRcfnN3Nb3c9H1ZnRGxHpsbjRgYcTab2I7ov2V6Kq0S3/7s9iM6Boo8k9nLkQsFW+Aby5F+9U4U/QNl2Plo3LpPZZ39/zvf66Isy/HC69ERPy//9mR/9quVyKWYq3shwUAqDsBHqAOWjSll7a9HNsRcfVwJ7zrlYiIzVJ71I+z8LNYW4+4EJdfrlze2qcRF6KzWM7vvFriRsuxGdFZrDO//Vl8+XFsrkf71Xjh9RJ3/F1EROfrhz9X+8vx0rtxYWDrwMUr0R6xdr/yBwEAqCNb6AEaHr+P//4vvVuPOvJsr0dEdD5/+Hr7uf1/re/CtU8j4uAz7aVu8VlsRrRfLf7K9ivR/mmRXfSPv4qIOHOuxP75C9H1k+i6ElHiJ4bdz1XlaLpz0Xkh1pZibaDybgIAgHoR4IHTKLmG+aGCj5/nn3wTkUvdB5yL9ojtb2I7iufn2hZmM3mRZ9qL2VyKKJOlc+H58fUD3fLNpd19AYUz6tpfjpfKt/034klEXIj2iO3lePC73C8Re7G/QOfVWFuPzeXoqmJDAQBAXQjwAEkaHx/PZDLNrqJa2fZ70WfaC2XD85nSne298Hw2F62zPxAU7gs4qs3bsZb/nPx6rH0cm6/E33zn8Csr7jgAAKg7AR44jQ51sFu/IV/3LfQVrJfswNeycHl3unvRZ9oPy724zN2z4Tl/F32Fpn1FG7EdEeuxth7tV+Py9d27Z6fWb38af/V3BUuyOw4KNgIAADSOIXYAFCibn4+6cHc+XBVPv+87X/bFV6Iz8mbRb8TmepG5ejVofyVeuL5/67PX4/LViIIp9BER54qPuwcAaBwdeIDa+9s1tO5PtJe+HH/4+PC1zterehC9brLpuur2+HZ1Z7N1Xo3Npd1d9NnB+MfaP59tpxcr8uxAtC/F9v/965JDATb2j50DAGgoHXiA0+jM+YiiaTm7mbx0A/zICzeKHzt3TGefj4jY/Cri+Pvn85R88P7//Jfiw+0BAE6QDjxAjWp7cv4P75xgE/5KyXu1X4hYiicFOTybzNsvlHzLoy7Mnu5W5g0Pv3+V3ewr0RmxuRSPB+qxfz472X69WDs9+wPEf/+Pkr9oaL8DACdFgAeo0UkPlqur7Gnq25/G45cPRN/d09pLd7OPujB77NwR2uOVzrHbr+RCxHps3j/2/vmIyO4sWI+1+9F1/cD17A8Qz/yPrfb4bwf+IXvyHADACbKFHuBUOhedFyIiHnwUj7Pt9I1Y+6iKcfFHXFjxTLjC9z8Tu9Psy+u8GlG//fNnB6I9Ipbiy9u5z5WbQh8R//W5/394QWMeDQAAKEMHHiBJExMTETE+Pl7zO3T9fWx/GJvr8eDDA9cvv5nX+t6ILz+M7Yiut6Lr3FEW5pY/iSPPtM+21isOh9vdC3D09y/uXLzwenz5cWwv7Yb2PZ2vxzMFN6j4rAEAQN3pwAOcVuei963ourp/of1qvPBuFS3l6hduVG6kF+r6SUTE5nLlMrJ7Adqv1iPAR8SVeOGt6Mp7t/YLcfmt4kP76zg5DwCgSjrwAKfYuei6fvip70MveKHoo/4VF2aVnqJXflV2QN32y3nJvNhbdb0ZXQWre9+N3ppLqvJz5U6e7zLBDgA4QTrwALScrlci1mOtYhO+SR7fj+2IroFm1wEAnDICPAAtp/3l6IzY/F0tO/BPwOaS9jsA0AQCPACtqPf1Fm3CP74dmxGXK26zBwCoNwEegJZ0JS5fbb0m/EY8XIrO150eBwA0gSF2ALSos9fjpWbXcFipqX4AAI0nwAMkaXx8PJPJNLsKAABOji30AAAAkAABHgAAABIgwAMAAEACBHgAAABIgAAPAAAACRDgAQAAIAECPAAAACRAgAdI0sTExOzsbLOrAADg5AjwAAAAkAABHgAAABIgwAMAAEACBHgAAABIgAAPAAAACRDgAQAAIAECPAAAACTgmWYXAEAtxsfHM5lMs6sAAODk6MADAABAAgR4AAAASIAADwAAAAkQ4AEAACABAjwAAAAkQIAHAACABAjwAAAAkAABHiBJExMTs7Ozza4CAICTI8ADAABAAgR4AAAASIAADwAAAAkQ4AEAACABAjwAAAAkQIAHAACABAjwAAAAkIBnml0AALUYHx/PZDLNrgIAgJOjAw8AAAAJEOABAAAgAQI8AAAAJECABwAAgAQI8AAAAJAAAR4AAAASIMADAABAAgR4gCRNTEzMzs42uwoAAE6OAA8AAAAJEOABAAAgAQI8AAAAJECABwAAgAQI8AAAAJAAAR4AAAASIMADAABAAp5pdgEA1GJ8fDyTyTS7CgAATo4OPAAAACRAgAcAAIAECPAAAACQAAEeAAAAEiDAAwAAQAIEeAAAAEiAAA8AAAAJEOABkjQxMTE7O9vsKgAAODkCPAAAACRAgAcAAIAECPAAAACQAAEeAAAAEiDAAwAAQAIEeAAAAEhA287OTrNrgJNw7969ZpcAADTNq6++2uwSAI5LBx4AAAASoAMPkKp79+5pKPGU8a0GgDJ04AEAACABAjwAAAAkQIAHAACABAjwAAAAkAABHgAAABIgwAMAAEACHCMHAAAACdCBBwAAgAQI8AAAAJAAAR4AAAASIMADAABAAgR4AAAASIAADwAAAAkQ4AEAACABzzS7AAAKPbrzwa9+fz+TiYiI7oEb/3D92osXG7oQGq22L+fnH7z23v0i1wdu3n37xTpXCACtrm1nZ6fZNQCQr2hiqSau1LwQGq3WL+ejO6NvzGaK/IMvNgCnkQAP0Fp2g073jZv/eO3FixGPPr/zq/dmMxHdN25NXSvTsKx5ITRa7V/O7EppHQAiwjPwAK3l0Z1/uR8RAzencruLL754bermQERkfv9vjxqwEBrtGF/OzxfvR0T3pa7GVwkACRDgAVrIo3/7fSYiBvoOdhtfvH6ju3zWqXkhNNoxvpyPHv45Irp/9EM7SAAgwhA7gJay9rBY0om4eOm5iEzm4VpE8SRT80JotGN8OdceZiK6f3Rp7c4Hv5q9n4mI6O4e+Id/fNtoRgBOJx14gNax228ssl+461J3RPz5YYlmZc0LodGO8eXMLs3MvvfebnqPiEzm/ntvvPbB5w2oFABangAPALSkbO8+onvg5q27d+/evXv31q0bA90Rcf+90Tt+lALg9BHgAdKRebh2wguh0Up/ObMN+Bi4ObW3Zf7ixWtvm80IwOklwAOko+Zh3KZ407JKfzkvXpu6e/du4QFyL/ZJ8ACcUgI8AJCU7MPz9pUAcPoI8ACt4+Kl56J4Lsk+DPzcpRKzt2teCI3WsC+nfSUAnD4CPEALKTWWu/Qg7+MuhEar9cv56M7oa6+9VmzgvJ+lADitBHiAFnLxhz/qjsjM3j6YWT6/PZuJ6P7RD0sGlpoXQqPV+uXMtu7j/uKhBP/ozr/cj2IHywPAU0+AB2gl2awT998b/eDzbMPy0ed3Rt+7H5VieM0LodFq/XK+eP3GoXXx6PMPRt+YzUR037guvwNw+rTt7Ow0uwYA8jz6/IM33rt/+OrAzfxh3I/ujL4xm4nuG7emrl08ykJoilq/1bvXChfe2jtZDgBOER14gBZz8cW3b928MdC9d6F74MatakJ4zQuh0Wr9cl68NnX31s2B7r2F3d0DN2/dld4BOKV04AEAACABOvAAAACQAAEeAAAAEiDAAwAAQAIEeAAAAEiAAA8AAAAJEOABAAAgAQI8AAAAJECABwAAgAQI8AAAAJAAAR4AAAASIMADAABAAgR4AAAASIAAD8ARrM5PTY3097ft6+8fmZpfXW1yUSN5JY1MrZa8Pj+SLXqq5oKP/w4AALUR4AGoyur8VH9/W+/Q2NjM4mLe9cXFmbGh3t62/pH55kTa+ZHeobGZ/JIu95S7nqjV+ZF+vxoAwOkmwANQ2epUf+/Q2IHgftjizFBvEwLm6tQvZyIiYnhyZSdrerDM9TTNj7T1Ds2U+/MDAKeAAA9ABatT/b1jufDY1zc8ObeSy8Q7OzsrK3PDfX3Zf1wc+/lJR/iV5Wxlwz8b7ani+uD0zs7Ozs7CaM3N+OO/AwBAbQR4AMpanfp5Lr33Dc+tLCxMjw725IXXnp7B6YWFlclshm9ChM+WdqX3SNcBANIjwANQzvz7ufg+PLcwPViq7dwzujA3HBERi7d/60FtAIAGEOABKGP+k+yT5NE3+YsKj5AP/mKyr294ePL65cJ/W50/OLs+O7q+9HtV8frVqf62tra2oWx9i2O9u68cGSl+PbsxoNwM+YM3LVVi9e9Q3XtUuGv2Yx76NIbZAcDp9EyzCwCghe3l9+F/qvzMd8/owkKRywceod+1uDizODRze3jy19MF71v69WN9w3MLjRlFV3jTXInV3rGmsn870n9wUP5R7woAnCY68ACUtPrgq+x/1Pwo+X6s7Rvem323sjI33BcRizNjvSPzxV/fNzw5t3JgUF5ELM4M9ecW9Iwu7Ozs7Oxu3O/LzZpfmJ4ufr3MDxB5Re7dNO+OVbS7qy873+LY2Mxi3/Dk3t9lLjdJYOaXuZtmP+ahT2OCHgCcTgI8AJU9X+MR6rkn6PsmVxam92bf9fQMTufG3s0M5UXbvYF5w3ML06P7D9znLcjLtvWSX+TeTXsGp3+drXBx7P0i4TvfMcoenluYHt37uwyO5v4sJgkAAIUEeAAaJXcWe9/krwtbxj2juwF5P9qu/vb2bg4utn88t6ByoD6a3GMCBU8J9Iz+U7bx/dWDsmG69rKLDBboufx8REQsLq9UVz4AcHoI8AA0Su4s9hL9+8NZdS8I/6zE49+5BRUC9dHkHhModteqznw/RtnF/jC9V/oqFw0AnEoCPAAl5aJnbZE5F41LPkCfy6q7757L+zNDbSXkhrHXszu9e9faD4yvvWyH1AMARyLAA1BaLmJX+Uj26tTI1NT86qGXlnyAfu/3AQAAKhPgAShtL2JXleDn3x+bGRsb6v35wXltJdv3e0PuDxqe26mgJY9YS7RsACAdAjwAZQz+IneyWRWz2LMj66Lv+k97IqqYx3boGflDO+pPVvEiV6f629ra2tqKHQKX09SyAYDTRIAHoJyen17fHao2M9Q/Ml8qo67Oj+wepZ43zT0XbWc+KZp/c+Pfc4+C7wX+Ut3+XJyu5mT2qg3+bLhkkRXn00U0q2wA4BQS4AEoa++4t4jFmaHetv6RA0+5r67OT4309/fuDmo7cDLa3jlsxQ5B32vY7wf+XLt/ceznxbJu7rz220S/LAAAAcZJREFUgvPejmcvwRcUuXfDcvm9WWUDAKePAA9ABT2jC3PDe2ebLc6MDfX27k1Y7+0dGptZzPbeo2947uCRa/vZtrd/ZC/3r67Oj/TvNuwPHIW+92PB4lhv/8jUfr9/dX6qf3eYe5Gz049pcHpuOHfTvXuuzo/0V3vDxpe9u5dht8m/enhMIABwOgjwAFQ2OL2wMjlc9oDyvuHJlYWCMW09owsru+F2Zi/39/YOzSzmlhxsS+e/fmxo73eC3qFc3D+8oC4Gp3M33bvnXolz1dyw0WXvbdMf621ra+vtrTSPAAB4KgnwAFSlZ3R6YWdlbnJyuK8vP8n39fUNT86t7CxMl4ioPaMLOytzk8P5q/r6hudWVoov2X/9wQWTcys7jUjvJYrM3rHwJ4nK79CIsgenV+YO/ICiBw8Ap1Dbzs5Os2sAAAAAKtCBBwAAgAQI8AAAAJAAAR4AAAASIMADAABAAgR4AAAASIAADwAAAAkQ4AEAACABAjwAAAAkQIAHAACABAjwAAAAkAABHgAAABIgwAMAAEACBHgAAABIgAAPAAAACRDgAQAAIAECPAAAACRAgAcAAIAECPAAAACQAAEeAAAAEvCffd6iZ8wXJ44AAAAASUVORK5CYII=" width="672" /></p>
<pre class="r"><code>ggsave(&quot;./figure5.png&quot;, width = 7, height = 4)</code></pre>
</div>
<div id="table-a7figure-6-experiment" class="section level2">
<h2>Table A7/Figure 6: Experiment</h2>
<ul>
<li>Unclear what we see in that table…*</li>
</ul>
<p>Coefficient and standard errors (in parentheses) from an OLS regression predicting change in trust before and after the experimental treatment (GDPR information).</p>
<pre class="r"><code># Reduced models, with treatment as only independent variable
# CHECK: Exclude 5 Respondents that skipped a wave? N = 2117 vs. 2112
trust.google.change.m1.tr.fac.red &lt;- lm(trust.google.change ~ tr.fac,
  subset = wave.num == 3, data = data
)

trust.facebook.change.m1.tr.fac.red &lt;- lm(trust.facebook.change ~ tr.fac,
subset = wave.num == 3, data = data
)

trust.generalized.change.m1.tr.fac.red &lt;- lm(trust.generalized.change ~ tr.fac,
subset = wave.num == 3, data = data
)

# Models with treatment as factor, all
trust.google.change.m1.tr.fac &lt;- lm(trust.google.change ~ tr.fac + gdpr.know.num + (tr.fac * gdpr.know.num),
  subset = wave.num == 3, data = data
)

trust.facebook.change.m1.tr.fac &lt;- lm(trust.facebook.change ~ tr.fac + gdpr.know.num +
  (tr.fac * gdpr.know.num),
subset = wave.num == 3, data = data
)

trust.generalized.change.m1.tr.fac &lt;- lm(trust.generalized.change ~ tr.fac + gdpr.know.num +
  (tr.fac * gdpr.know.num),
subset = wave.num == 3, data = data
)

# Models with treatment as factor, those who assessed treatment text as somewhat or very comprehensible
trust.google.change.m2.tr.fac &lt;- lm(trust.google.change ~ tr.fac + gdpr.know.num + (tr.fac * gdpr.know.num),
  subset = wave.num == 3 &amp; (text.comprehensible.dich == 1 | is.na(text.comprehensible.dich == 1) == TRUE), data = data
)

trust.facebook.change.m2.tr.fac &lt;- lm(trust.facebook.change ~ tr.fac + gdpr.know.num +
  (tr.fac * gdpr.know.num),
subset = wave.num == 3 &amp; (text.comprehensible.dich == 1 | is.na(text.comprehensible.dich == 1) == TRUE), data = data
)

trust.generalized.change.m2.tr.fac &lt;- lm(trust.generalized.change ~ tr.fac + gdpr.know.num +
  (tr.fac * gdpr.know.num),
subset = wave.num == 3 &amp; (text.comprehensible.dich == 1 | is.na(text.comprehensible.dich == 1) == TRUE), data = data
)


stargazer(trust.google.change.m1.tr.fac.red, trust.google.change.m1.tr.fac, trust.google.change.m2.tr.fac,
  trust.facebook.change.m1.tr.fac.red, trust.facebook.change.m1.tr.fac, trust.facebook.change.m2.tr.fac,
  type = &quot;html&quot;,
  title = &quot;&quot;,
  omit.stat = c(&quot;LL&quot;, &quot;ser&quot;, &quot;f&quot;, &quot;adj.rsq&quot;),
  t.auto = T, p.auto = T,
  dep.var.caption = &quot;Outcomes:&quot;,
  dep.var.labels.include = FALSE,
  ci = FALSE,
  digits = 2,
  ci.level = 0.95,
  single.row = FALSE,
  label = &quot;tab:fe-within&quot;,
  table.placement = &quot;H&quot;,
  column.sep.width = &quot;-7pt&quot;,
  align = TRUE,
  column.labels = c(
    &quot;Trust Google (pre-post)&quot;, &quot;Trust Facebook (pre-post)&quot;,
    &quot;Trust generalized (pre-post)&quot;
  ),
  column.separate = c(3, 3, 3),
  model.names = FALSE,
  model.numbers = FALSE,
  star.cutoffs = c(0.05, 0.01, 0.001),
  notes = &quot;* Wave 3: (1) and (2) all respondents, (3) excluding those who assessed treatment text as not at all or little comprehensible&quot;,
  header = FALSE,
  no.space = TRUE,
  font.size = &quot;footnotesize&quot;,
  covariate.labels = c(
    &quot;Treatment GDPR (Ref.: None)&quot;,
    &quot;Treatment PassRights (Ref.: None)&quot;,
    &quot;Know GDPR (No = 0, Yes = 1)&quot;,
    &quot;Treatment GDPR*Awareness&quot;,
    &quot;Treatment PassRights*Awareness&quot;
  ),
  out = &quot;./tableA7.html&quot;
)</code></pre>
<table style="text-align:center">
<tr>
<td colspan="7" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="6">
Outcomes:
</td>
</tr>
<tr>
<td>
</td>
<td colspan="6" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="3">
Trust Google (pre-post)
</td>
<td colspan="3">
Trust Facebook (pre-post)
</td>
</tr>
<tr>
<td colspan="7" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Treatment GDPR (Ref.: None)
</td>
<td>
0.09
</td>
<td>
0.05
</td>
<td>
0.12
</td>
<td>
0.01
</td>
<td>
0.06
</td>
<td>
0.06
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.06)
</td>
<td>
(0.08)
</td>
<td>
(0.09)
</td>
<td>
(0.06)
</td>
<td>
(0.08)
</td>
<td>
(0.09)
</td>
</tr>
<tr>
<td style="text-align:left">
Treatment PassRights (Ref.: None)
</td>
<td>
0.04
</td>
<td>
0.01
</td>
<td>
0.04
</td>
<td>
-0.06
</td>
<td>
-0.06
</td>
<td>
-0.04
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.07)
</td>
<td>
(0.10)
</td>
<td>
(0.10)
</td>
<td>
(0.07)
</td>
<td>
(0.09)
</td>
<td>
(0.10)
</td>
</tr>
<tr>
<td style="text-align:left">
Know GDPR (No = 0, Yes = 1)
</td>
<td>
</td>
<td>
0.04
</td>
<td>
0.04
</td>
<td>
</td>
<td>
0.11
</td>
<td>
0.11
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.10)
</td>
<td>
(0.10)
</td>
<td>
</td>
<td>
(0.10)
</td>
<td>
(0.09)
</td>
</tr>
<tr>
<td style="text-align:left">
Treatment GDPR*Awareness
</td>
<td>
</td>
<td>
0.07
</td>
<td>
-0.02
</td>
<td>
</td>
<td>
-0.11
</td>
<td>
-0.11
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.12)
</td>
<td>
(0.12)
</td>
<td>
</td>
<td>
(0.12)
</td>
<td>
(0.12)
</td>
</tr>
<tr>
<td style="text-align:left">
Treatment PassRights*Awareness
</td>
<td>
</td>
<td>
0.05
</td>
<td>
0.04
</td>
<td>
</td>
<td>
0.004
</td>
<td>
-0.03
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.14)
</td>
<td>
(0.15)
</td>
<td>
</td>
<td>
(0.14)
</td>
<td>
(0.14)
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
-0.02
</td>
<td>
-0.04
</td>
<td>
-0.04
</td>
<td>
0.01
</td>
<td>
-0.05
</td>
<td>
-0.05
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.05)
</td>
<td>
(0.07)
</td>
<td>
(0.07)
</td>
<td>
(0.05)
</td>
<td>
(0.07)
</td>
<td>
(0.07)
</td>
</tr>
<tr>
<td colspan="7" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
2,072
</td>
<td>
2,072
</td>
<td>
1,777
</td>
<td>
2,078
</td>
<td>
2,078
</td>
<td>
1,781
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.001
</td>
<td>
0.003
</td>
<td>
0.002
</td>
<td>
0.001
</td>
<td>
0.002
</td>
<td>
0.002
</td>
</tr>
<tr>
<td colspan="7" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="6" style="text-align:right">
<sup><em></sup>p&lt;0.05; <sup><strong></sup>p&lt;0.01; <sup></strong></em></sup>p&lt;0.001
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="6" style="text-align:right">
<ul>
<li>Wave 3: (1) and (2) all respondents, (3) excluding those who assessed treatment text as not at all or little comprehensible
</td>
</tr>
</table></li>
</ul>
<pre class="r"><code>models &lt;- c(&quot;trust.google.change.m1.tr.fac.red&quot;, 
            &quot;trust.google.change.m1.tr.fac&quot;, 
            &quot;trust.google.change.m2.tr.fac&quot;,
            &quot;trust.facebook.change.m1.tr.fac.red&quot;, 
            &quot;trust.facebook.change.m1.tr.fac&quot;, 
            &quot;trust.facebook.change.m2.tr.fac&quot;)

allmodels &lt;- NULL
for(i in 1:length(models)){
  fit_i &lt;- get(models[i])
  modelname_i &lt;- models[i]
  outcome_i &lt;- as.character(formula(fit_i))[2]
  if(str_detect(models[i], &quot;m1&quot;)){sample_i &lt;- &quot;Full Sample&quot;}else{sample_i &lt;- &quot;Subsample:\nVery/Somewhat\ncomprehensible&quot;}


  
  
model_i &lt;- tidy(fit_i) %&gt;% 
     rename(&quot;Variable&quot; = &quot;term&quot;) %&gt;% 
       rename(&quot;Coefficient&quot; = &quot;estimate&quot;) %&gt;% 
       rename(&quot;SE&quot; = &quot;std.error&quot;) %&gt;%
      # mutate(Model = sub(&#39;.*\\.&#39;, &#39;&#39;, name_i)) %&gt;%
      mutate(Outcome = outcome_i) %&gt;%
  filter(Variable!=&quot;(Intercept)&quot;) %&gt;%
  mutate(Variable = factor(Variable, ordered = TRUE, levels=rev(Variable))) %&gt;%
  mutate(Variable = factor(Variable, ordered = TRUE, levels=rev(levels(Variable))))

if(str_detect(models[i], &quot;red&quot;)){model_i$Model_Type &lt;- &quot;No Controls&quot;}else{model_i$Model_Type &lt;- &quot;With Controls&quot;}
model_i$Sample &lt;- sample_i
allmodels &lt;- data.frame(rbind(allmodels, model_i)) 
    
}  


allmodels$Variable &lt;- recode(allmodels$Variable,
                             &quot;tr.facGDPR&quot; = &quot;Treatment GDPR (Ref.: None)&quot;,
                             &quot;tr.facPassRights&quot; = &quot;Treatment PassRights (Ref.: None)&quot;,
                             &quot;gdpr.know.num&quot; = &quot;Know GDPR (No = 0, Yes = 1)&quot;,
                             &quot;tr.facGDPR:gdpr.know.num&quot; = &quot;Treatment GDPR * Awareness&quot;,
                             &quot;tr.facPassRights:gdpr.know.num&quot; = &quot;Treatment PassRights * Awareness&quot;)




allmodels$Outcome &lt;- gsub(&quot;\\.&quot;, &quot; &quot;, allmodels$Outcome)
allmodels$Outcome &lt;- str_to_title(allmodels$Outcome) 

allmodels$Model[allmodels$Model==&quot;withcontrols&quot;] &lt;- &quot;With Controls&quot;
allmodels$Model[allmodels$Model==&quot;nocontrols&quot;] &lt;- &quot;No Controls&quot;
                         
allmodels$Variable &lt;- droplevels(allmodels$Variable)

#allmodels$Variable &lt;- str_wrap(allmodels$Variable, width = 20)

# Specify the width of your confidence intervals
interval1 &lt;- -qnorm((1-0.9)/2)  # 90% multiplier
interval2 &lt;- -qnorm((1-0.95)/2)  # 95% multiplier

allmodels &lt;- allmodels %&gt;% arrange(Outcome)
allmodels$Coefficient_labels &lt;- as.numeric(factor(paste(allmodels$Outcome, allmodels$Model, allmodels$Sample, sep=&quot;&quot;))) + 16
allmodels$Coefficient_labels &lt;- recode(allmodels$Coefficient_labels, 
                                       &quot;17&quot; = &quot;20&quot;,
                                       &quot;18&quot; = &quot;21&quot;,
                                       &quot;19&quot; = &quot;22&quot;,
                                       &quot;20&quot; = &quot;17&quot;,
                                       &quot;21&quot; = &quot;18&quot;,
                                       &quot;22&quot; = &quot;19&quot;)
allmodels$Coefficient_labels &lt;- paste(round(allmodels$Coefficient, 2), &quot; (M&quot;, allmodels$Coefficient_labels, &quot;)&quot;,sep=&quot;&quot;)

# allmodels$Sample &lt;- factor(allmodels$Sample, 
#                                       levels = c(&quot;Very/Somewhat&quot;, &quot;Full Sample&quot;),
#                                       ordered = TRUE)

# allmodels$Model_Type &lt;- factor(allmodels$Model_Type, 
#                                       levels = c(&quot;With Controls&quot;, &quot;No Controls&quot;))
# 


# Plot
p1 &lt;- ggplot(allmodels %&gt;% filter(str_detect(Outcome, &quot;Google&quot;)), aes(colour = Sample)) + 
  geom_hline(yintercept = 0, colour = gray(1/2), lty = 2) + 
  geom_linerange(aes(x = Variable, 
                     ymin = Coefficient - SE*interval1,
                     ymax = Coefficient + SE*interval1,
                     shape = Model,
                     colour = Sample),
                            lwd = 1, position = position_dodge2(reverse = TRUE, width = 0.8)) + 
  geom_pointrange(aes(x = Variable, 
                      y = Coefficient, 
                      ymin = Coefficient - SE*interval2,
                      ymax = Coefficient + SE*interval2,
                      shape = Model,
                      colour = Sample),
                  lwd = 1/2,
                  position = position_dodge2(reverse = TRUE, width = 0.8),
                  fill = &quot;WHITE&quot;) +
  geom_text(aes(x = Variable,
                y = Coefficient + SE*interval2+0.2,
                label = Coefficient_labels,
                     shape = Model,
                     colour = Sample),
            position = position_dodge2(reverse = TRUE, width = 0.8),
            size = 3) +
  coord_flip() + 
    labs(shape = &quot;Model Type&quot;) +
  scale_x_discrete(limits = rev(levels(allmodels$Variable)), 
                   labels = str_wrap(rev(levels(allmodels$Variable)), width = 20)) + 
  labs(colour = &quot;Sample&quot;) +
  theme_light() + ggtitle(&quot;Outcome: Trust Google Change\n(-10 - 10)&quot;) +
  theme(legend.position=&quot;bottom&quot;,
        legend.title=element_text(size=8), 
        legend.text=element_text(size=8),
        plot.title = element_text(size = 11)) +
  ylim(NA,0.6)</code></pre>
<pre><code>## Warning: Ignoring unknown aesthetics: shape

## Warning: Ignoring unknown aesthetics: shape</code></pre>
<pre class="r"><code>p2 &lt;- ggplot(allmodels %&gt;% filter(str_detect(Outcome, &quot;Facebook&quot;)), aes(colour = Sample)) + 
  geom_hline(yintercept = 0, colour = gray(1/2), lty = 2) + 
  geom_linerange(aes(x = Variable, 
                     ymin = Coefficient - SE*interval1,
                     ymax = Coefficient + SE*interval1,
                     shape = Model,
                     colour = Sample),
                            lwd = 1, position = position_dodge2(reverse = TRUE, width = 0.8)) + 
  geom_pointrange(aes(x = Variable, 
                      y = Coefficient, 
                      ymin = Coefficient - SE*interval2,
                      ymax = Coefficient + SE*interval2,
                      shape = Model,
                      colour = Sample),
                  lwd = 1/2,
                  position = position_dodge2(reverse = TRUE, width = 0.8),
                  fill = &quot;WHITE&quot;) +
  geom_text(aes(x = Variable,
                y = Coefficient + SE*interval2+0.2,
                label = Coefficient_labels,
                     shape = Model,
                     colour = Sample),
            position = position_dodge2(reverse = TRUE, width = 0.8),
            size = 3) +
  coord_flip() + 
    labs(shape = &quot;Model Type&quot;) +
  scale_x_discrete(limits = rev(levels(allmodels$Variable)), 
                   labels = str_wrap(rev(levels(allmodels$Variable)), width = 20)) + 
  labs(colour = &quot;Sample&quot;) +
  theme_light() + ggtitle(&quot;Outcome: Trust Facebook Change\n(-10 - 10)&quot;) +
  theme(axis.text.y=element_blank(),
        axis.title.y=element_blank(),
        plot.title = element_text(size = 11)) +
  ylim(NA,0.6)</code></pre>
<pre><code>## Warning: Ignoring unknown aesthetics: shape

## Warning: Ignoring unknown aesthetics: shape</code></pre>
<pre class="r"><code>mylegend&lt;-g_legend(p1)




g &lt;- grid.arrange(arrangeGrob(p1 + theme(legend.position=&quot;none&quot;),
                                        p2 + theme(legend.position=&quot;none&quot;),
                                   nrow=1, widths=c(1,0.65)),
                  mylegend,
                   #left = grid::textGrob(&quot;Variable&quot;, rot = 90, vjust = 1),
                   #bottom = grid::textGrob(&quot;Coefficient&quot;, rot = 0, vjust = 0.5),
                   nrow=2, heights=c(10, 1))</code></pre>
<p><img src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>walk(c(&#39;png&#39;), ~ ggsave(filename = file.path(paste0(&quot;figure6.&quot;, .x)), device = .x, plot = g, width = 7, height = 4))



#ggsave(&quot;./figure6.png&quot;, width = 7, height = 4)</code></pre>
<pre class="r"><code># Same models as in table3-gdpr-m1-m3-treatmentfactor, but excluding speeders

# Reduced models, with treatment as only independent variable
trust.google.change.m1.tr.fac.red.speeding &lt;- lm(trust.google.change ~ tr.fac,
  subset = wave.num == 3 &amp; speeding == 0, data = data
)

trust.facebook.change.m1.tr.fac.red.speeding &lt;- lm(trust.facebook.change ~ tr.fac,
subset = wave.num == 3 &amp; speeding == 0, data = data
)

trust.generalized.change.m1.tr.fac.red.speeding &lt;- lm(trust.generalized.change ~ tr.fac,
subset = wave.num == 3 &amp; speeding == 0, data = data
)

# Models with treatment as factor, all
trust.google.change.m1.tr.fac.speeding &lt;- lm(trust.google.change ~ tr.fac + gdpr.know.num + (tr.fac * gdpr.know.num),
  subset = wave.num == 3 &amp; speeding == 0, data = data
)

trust.facebook.change.m1.tr.fac.speeding &lt;- lm(trust.facebook.change ~ tr.fac + gdpr.know.num +
  (tr.fac * gdpr.know.num),
subset = wave.num == 3 &amp; speeding == 0, data = data
)

trust.generalized.change.m1.tr.fac.speeding &lt;- lm(trust.generalized.change ~ tr.fac + gdpr.know.num +
  (tr.fac * gdpr.know.num),
subset = wave.num == 3 &amp; speeding == 0, data = data
)

# Models with treatment as factor, those who assessed treatment text as somewhat or very comprehensible
trust.google.change.m2.tr.fac.speeding &lt;- lm(trust.google.change ~ tr.fac + gdpr.know.num + (tr.fac * gdpr.know.num),
  subset = wave.num == 3 &amp; speeding == 0 &amp; (text.comprehensible.dich == 1 | is.na(text.comprehensible.dich == 1) == TRUE), data = data
)

trust.facebook.change.m2.tr.fac.speeding &lt;- lm(trust.facebook.change ~ tr.fac + gdpr.know.num +
  (tr.fac * gdpr.know.num),
subset = wave.num == 3 &amp; speeding == 0 &amp; (text.comprehensible.dich == 1 | is.na(text.comprehensible.dich == 1) == TRUE), data = data
)

trust.generalized.change.m2.tr.fac.speeding &lt;- lm(trust.generalized.change ~ tr.fac + gdpr.know.num +
  (tr.fac * gdpr.know.num),
subset = wave.num == 3 &amp; speeding == 0 &amp; (text.comprehensible.dich == 1 | is.na(text.comprehensible.dich == 1) == TRUE), data = data
)


stargazer(trust.google.change.m1.tr.fac.red.speeding, trust.google.change.m1.tr.fac.speeding, trust.google.change.m2.tr.fac.speeding,
  trust.facebook.change.m1.tr.fac.red.speeding, trust.facebook.change.m1.tr.fac.speeding, trust.facebook.change.m2.tr.fac.speeding,
  type = &quot;html&quot;,
  title = &quot;&quot;,
  omit.stat = c(&quot;LL&quot;, &quot;ser&quot;, &quot;f&quot;, &quot;adj.rsq&quot;),
  t.auto = T, p.auto = T,
  dep.var.caption = &quot;Outcomes:&quot;,
  dep.var.labels.include = FALSE,
  ci = FALSE,
  digits = 2,
  ci.level = 0.95,
  single.row = FALSE,
  label = &quot;tab:fe-within&quot;,
  table.placement = &quot;H&quot;,
  column.sep.width = &quot;-7pt&quot;,
  align = TRUE,
  column.labels = c(
    &quot;Trust Google (pre-post)&quot;, &quot;Trust Facebook (pre-post)&quot;,
    &quot;Trust generalized (pre-post)&quot;
  ),
  column.separate = c(3, 3, 3),
  model.names = FALSE,
  model.numbers = FALSE,
  star.cutoffs = c(0.05, 0.01, 0.001),
  notes = &quot;* Wave 3: (1) and (2) non-speeders (threshold: at least 0.3 seconds per word), (3) excluding those who assessed treatment text as no or little comprehensible&quot;,
  header = FALSE,
  no.space = TRUE,
  font.size = &quot;footnotesize&quot;,
  covariate.labels = c(
    &quot;Treatment GDPR (Ref.: None)&quot;,
    &quot;Treatment PassRights (Ref.: None)&quot;,
    &quot;Know GDPR (No = 0, Yes = 1)&quot;,
    &quot;Treatment GDPR*Awareness&quot;,
    &quot;Treatment PassRights*Awareness&quot;
  ),
  out = &quot;./table3-speeding.html&quot;
)</code></pre>
<table style="text-align:center">
<tr>
<td colspan="7" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="6">
Outcomes:
</td>
</tr>
<tr>
<td>
</td>
<td colspan="6" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="3">
Trust Google (pre-post)
</td>
<td colspan="3">
Trust Facebook (pre-post)
</td>
</tr>
<tr>
<td colspan="7" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Treatment GDPR (Ref.: None)
</td>
<td>
-0.26
</td>
<td>
-0.14
</td>
<td>
0.06
</td>
<td>
0.14
</td>
<td>
0.40
</td>
<td>
0.47<sup>*</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.15)
</td>
<td>
(0.24)
</td>
<td>
(0.26)
</td>
<td>
(0.14)
</td>
<td>
(0.21)
</td>
<td>
(0.22)
</td>
</tr>
<tr>
<td style="text-align:left">
Treatment PassRights (Ref.: None)
</td>
<td>
</td>
<td>
-0.01
</td>
<td>
0.03
</td>
<td>
</td>
<td>
0.46<sup>*</sup>
</td>
<td>
0.56<sup>**</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.21)
</td>
<td>
(0.22)
</td>
<td>
</td>
<td>
(0.18)
</td>
<td>
(0.19)
</td>
</tr>
<tr>
<td style="text-align:left">
Know GDPR (No = 0, Yes = 1)
</td>
<td>
</td>
<td>
-0.22
</td>
<td>
-0.43
</td>
<td>
</td>
<td>
-0.43
</td>
<td>
-0.55
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.31)
</td>
<td>
(0.33)
</td>
<td>
</td>
<td>
(0.28)
</td>
<td>
(0.28)
</td>
</tr>
<tr>
<td style="text-align:left">
Treatment GDPR*Awareness
</td>
<td>
0.27<sup>**</sup>
</td>
<td>
0.28
</td>
<td>
0.24
</td>
<td>
-0.01
</td>
<td>
-0.29<sup>*</sup>
</td>
<td>
-0.39<sup>*</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.10)
</td>
<td>
(0.16)
</td>
<td>
(0.18)
</td>
<td>
(0.09)
</td>
<td>
(0.14)
</td>
<td>
(0.15)
</td>
</tr>
<tr>
<td colspan="7" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
222
</td>
<td>
222
</td>
<td>
205
</td>
<td>
223
</td>
<td>
223
</td>
<td>
206
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.01
</td>
<td>
0.02
</td>
<td>
0.02
</td>
<td>
0.005
</td>
<td>
0.03
</td>
<td>
0.05
</td>
</tr>
<tr>
<td colspan="7" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="6" style="text-align:right">
<sup><em></sup>p&lt;0.05; <sup><strong></sup>p&lt;0.01; <sup></strong></em></sup>p&lt;0.001
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="6" style="text-align:right">
<ul>
<li>Wave 3: (1) and (2) non-speeders (threshold: at least 0.3 seconds per word), (3) excluding those who assessed treatment text as no or little comprehensible
</td>
</tr>
</table></li>
</ul>
<p><br><br><br></p>
</div>
</div>
<div id="appendix" class="section level1">
<h1>Appendix</h1>
<div id="table-a2-a-a2-a-a3-a-a3-b-a4-a-a4-b-summary-stats" class="section level2">
<h2>Table A2-A, A2-A, A3-A, A3-B, A4-A, A4-B: Summary stats</h2>
<pre class="r"><code>summary.stats &lt;- data %&gt;% filter(wave.num == 1) %&gt;% select(-pid) %&gt;% select(&quot;trust.google&quot;, &quot;trust.facebook&quot;, &quot;trust.researchers&quot;, &quot;trust.fedoffstats&quot;, &quot;gdpr.know.new&quot;,
                                                                                                      &quot;female&quot;, &quot;age.cat.fac&quot;, &quot;school.educ.num4.fact&quot;, &quot;privacy.worry.numeric&quot;, &quot;account.facebook.fac&quot;, &quot;account.google.fac&quot;, &quot;device.smartphone.dummy&quot;, &quot;device.handy.dummy&quot;, &quot;device.desktop.dummy&quot;, &quot;device.tablet.dummy&quot;, &quot;device.ereader.dummy&quot;, &quot;trust.generalized&quot;)


summary.stats &lt;- summary.stats %&gt;% rename(&quot;Trust Google&quot; = &quot;trust.google&quot;, 
                         &quot;Trust Facebook&quot; = &quot;trust.facebook&quot;, 
                         &quot;Trust Researchers&quot; = &quot;trust.researchers&quot;, 
                         &quot;Trust Fedoffstats&quot; = &quot;trust.fedoffstats&quot;, 
                         &quot;GDPR Awareness&quot; = &quot;gdpr.know.new&quot;,
                         &quot;Female&quot; = &quot;female&quot;, 
                         &quot;Age (cat.)&quot; = &quot;age.cat.fac&quot;, 
                         &quot;Education (cat.)&quot; = &quot;school.educ.num4.fact&quot;, 
                         &quot;Privacy worry&quot; = &quot;privacy.worry.numeric&quot;, 
                         &quot;Account: Facebook (cat.)&quot; = &quot;account.facebook.fac&quot;, 
                         &quot;Account: Google (cat.)&quot; = &quot;account.google.fac&quot;, 
                         &quot;Device: Smartphone&quot; = &quot;device.smartphone.dummy&quot;, 
                         &quot;Device: Handy&quot; = &quot;device.handy.dummy&quot;, 
                         &quot;Device: Tablet&quot; = &quot;device.desktop.dummy&quot;, 
                         &quot;Device: PC&quot; = &quot;device.tablet.dummy&quot;, 
                         &quot;Device: Ereader&quot; = &quot;device.ereader.dummy&quot;, 
                         &quot;Generalized Trust&quot; = &quot;trust.generalized&quot;)


summary.stats.num &lt;-  summary.stats  %&gt;% select_if(is.numeric)
summary.stats.fac &lt;-  summary.stats  %&gt;% select_if(is.factor)



stargazer::stargazer(summary.stats.num ,
  iqr = FALSE,
  summary = TRUE,
  type = &quot;html&quot;,
  font.size = &quot;footnotesize&quot;,
  table.placement = &quot;H&quot;,
  title = &quot;Wave 1&quot;,
  digits = 2,
  rownames = FALSE,
  header = FALSE,
  notes = &quot;\\parbox[t]{7cm}{Note: Summary statistics for numeric variables.}&quot;, # \\textwidth
  notes.append = FALSE,
  notes.align = &quot;l&quot;,
  out = &quot;./tableA2-A.html&quot;
)</code></pre>
<table style="text-align:center">
<caption>
<strong>Wave 1</strong>
</caption>
<tr>
<td colspan="8" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Statistic
</td>
<td>
N
</td>
<td>
Mean
</td>
<td>
St. Dev.
</td>
<td>
Min
</td>
<td>
Pctl(25)
</td>
<td>
Pctl(75)
</td>
<td>
Max
</td>
</tr>
<tr>
<td colspan="8" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Trust Google
</td>
<td>
2,052
</td>
<td>
3.33
</td>
<td>
3.00
</td>
<td>
0.00
</td>
<td>
0.00
</td>
<td>
5.00
</td>
<td>
10.00
</td>
</tr>
<tr>
<td style="text-align:left">
Trust Facebook
</td>
<td>
2,058
</td>
<td>
2.18
</td>
<td>
2.80
</td>
<td>
0.00
</td>
<td>
0.00
</td>
<td>
4.00
</td>
<td>
10.00
</td>
</tr>
<tr>
<td style="text-align:left">
Trust Researchers
</td>
<td>
2,058
</td>
<td>
6.20
</td>
<td>
2.77
</td>
<td>
0.00
</td>
<td>
5.00
</td>
<td>
8.00
</td>
<td>
10.00
</td>
</tr>
<tr>
<td style="text-align:left">
Trust Fedoffstats
</td>
<td>
2,059
</td>
<td>
5.84
</td>
<td>
3.05
</td>
<td>
0.00
</td>
<td>
4.00
</td>
<td>
8.00
</td>
<td>
10.00
</td>
</tr>
<tr>
<td style="text-align:left">
GDPR Awareness
</td>
<td>
2,065
</td>
<td>
0.23
</td>
<td>
0.42
</td>
<td>
0
</td>
<td>
0
</td>
<td>
0
</td>
<td>
1
</td>
</tr>
<tr>
<td style="text-align:left">
Female
</td>
<td>
2,065
</td>
<td>
0.50
</td>
<td>
0.50
</td>
<td>
0
</td>
<td>
0
</td>
<td>
1
</td>
<td>
1
</td>
</tr>
<tr>
<td style="text-align:left">
Privacy worry
</td>
<td>
2,062
</td>
<td>
1.70
</td>
<td>
0.73
</td>
<td>
0.00
</td>
<td>
1.00
</td>
<td>
2.00
</td>
<td>
3.00
</td>
</tr>
<tr>
<td style="text-align:left">
Device: Smartphone
</td>
<td>
2,058
</td>
<td>
0.80
</td>
<td>
0.40
</td>
<td>
0.00
</td>
<td>
1.00
</td>
<td>
1.00
</td>
<td>
1.00
</td>
</tr>
<tr>
<td style="text-align:left">
Device: Handy
</td>
<td>
1,983
</td>
<td>
0.39
</td>
<td>
0.49
</td>
<td>
0.00
</td>
<td>
0.00
</td>
<td>
1.00
</td>
<td>
1.00
</td>
</tr>
<tr>
<td style="text-align:left">
Device: Tablet
</td>
<td>
2,053
</td>
<td>
0.97
</td>
<td>
0.18
</td>
<td>
0.00
</td>
<td>
1.00
</td>
<td>
1.00
</td>
<td>
1.00
</td>
</tr>
<tr>
<td style="text-align:left">
Device: PC
</td>
<td>
2,027
</td>
<td>
0.54
</td>
<td>
0.50
</td>
<td>
0.00
</td>
<td>
0.00
</td>
<td>
1.00
</td>
<td>
1.00
</td>
</tr>
<tr>
<td style="text-align:left">
Device: Ereader
</td>
<td>
1,992
</td>
<td>
0.25
</td>
<td>
0.43
</td>
<td>
0.00
</td>
<td>
0.00
</td>
<td>
1.00
</td>
<td>
1.00
</td>
</tr>
<tr>
<td style="text-align:left">
Generalized Trust
</td>
<td>
2,062
</td>
<td>
4.83
</td>
<td>
2.58
</td>
<td>
0.00
</td>
<td>
3.00
</td>
<td>
7.00
</td>
<td>
10.00
</td>
</tr>
<tr>
<td colspan="8" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td colspan="8" style="text-align:left">
Note: Summary statistics for numeric variables.
</td>
</tr>
</table>
<pre class="r"><code># Categorical variables
  library(magrittr)</code></pre>
<pre><code>## 
## Attaching package: &#39;magrittr&#39;</code></pre>
<pre><code>## The following object is masked from &#39;package:purrr&#39;:
## 
##     set_names</code></pre>
<pre><code>## The following object is masked from &#39;package:tidyr&#39;:
## 
##     extract</code></pre>
<pre class="r"><code>  library(qwraps2)</code></pre>
<pre><code>## Warning: package &#39;qwraps2&#39; was built under R version 4.1.1</code></pre>
<pre><code>## 
## Attaching package: &#39;qwraps2&#39;</code></pre>
<pre><code>## The following objects are masked from &#39;package:ggpubr&#39;:
## 
##     mean_ci, mean_sd, median_iqr</code></pre>
<pre class="r"><code>  options(qwraps2_markup = &quot;markdown&quot;)
  summary.table &lt;- summary.stats.fac %&gt;%
      summary_table(.)
  x &lt;- capture.output(print(summary.table, caption = &quot;Summary statistics: Categorical variables&quot;, markup = &quot;markdown&quot;,
        rtitle = &quot;Variable&quot;,
        cnames = c(&quot;Distribution (N/Prop.)&quot;)
        ))
  cat(x,file=&quot;./tableA2-B.Rmd&quot;,append=FALSE,sep=&quot;\n&quot;)
  markdownToHTML(file = &quot;./tableA2-B.Rmd&quot;, output = &quot;tableA2-B.html&quot;)</code></pre>
<pre class="r"><code>summary.stats &lt;- data %&gt;% filter(wave.num == 2) %&gt;% select(-pid) %&gt;% select(&quot;trust.google&quot;, &quot;trust.facebook&quot;, &quot;trust.researchers&quot;, &quot;trust.fedoffstats&quot;, &quot;gdpr.know.new&quot;,
                                                                                                      &quot;female&quot;, &quot;age.cat.fac&quot;, &quot;school.educ.num4.fact&quot;, &quot;privacy.worry.numeric&quot;, &quot;account.facebook.fac&quot;, &quot;account.google.fac&quot;, &quot;device.smartphone.dummy&quot;, &quot;device.handy.dummy&quot;, &quot;device.desktop.dummy&quot;, &quot;device.tablet.dummy&quot;, &quot;device.ereader.dummy&quot;, &quot;trust.generalized&quot;)


summary.stats &lt;- summary.stats %&gt;% rename(&quot;Trust Google&quot; = &quot;trust.google&quot;, 
                         &quot;Trust Facebook&quot; = &quot;trust.facebook&quot;, 
                         &quot;Trust Researchers&quot; = &quot;trust.researchers&quot;, 
                         &quot;Trust Fedoffstats&quot; = &quot;trust.fedoffstats&quot;, 
                         &quot;GDPR Awareness&quot; = &quot;gdpr.know.new&quot;,
                         &quot;Female&quot; = &quot;female&quot;, 
                         &quot;Age (cat.)&quot; = &quot;age.cat.fac&quot;, 
                         &quot;Education (cat.)&quot; = &quot;school.educ.num4.fact&quot;, 
                         &quot;Privacy worry&quot; = &quot;privacy.worry.numeric&quot;, 
                         &quot;Account: Facebook (cat.)&quot; = &quot;account.facebook.fac&quot;, 
                         &quot;Account: Google (cat.)&quot; = &quot;account.google.fac&quot;, 
                         &quot;Device: Smartphone&quot; = &quot;device.smartphone.dummy&quot;, 
                         &quot;Device: Handy&quot; = &quot;device.handy.dummy&quot;, 
                         &quot;Device: Tablet&quot; = &quot;device.desktop.dummy&quot;, 
                         &quot;Device: PC&quot; = &quot;device.tablet.dummy&quot;, 
                         &quot;Device: Ereader&quot; = &quot;device.ereader.dummy&quot;, 
                         &quot;Generalized Trust&quot; = &quot;trust.generalized&quot;)


summary.stats.num &lt;-  summary.stats  %&gt;% select_if(is.numeric)
summary.stats.fac &lt;-  summary.stats  %&gt;% select_if(is.factor)



stargazer::stargazer(summary.stats.num ,
  iqr = FALSE,
  summary = TRUE,
  type = &quot;html&quot;,
  font.size = &quot;footnotesize&quot;,
  table.placement = &quot;H&quot;,
  title = &quot;Wave 2&quot;,
  digits = 2,
  rownames = FALSE,
  header = FALSE,
  notes = &quot;\\parbox[t]{7cm}{Note: Summary statistics for numeric variables.}&quot;, # \\textwidth
  notes.append = FALSE,
  notes.align = &quot;l&quot;,
  out = &quot;./tableA3-A.html&quot;
)</code></pre>
<table style="text-align:center">
<caption>
<strong>Wave 2</strong>
</caption>
<tr>
<td colspan="8" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Statistic
</td>
<td>
N
</td>
<td>
Mean
</td>
<td>
St. Dev.
</td>
<td>
Min
</td>
<td>
Pctl(25)
</td>
<td>
Pctl(75)
</td>
<td>
Max
</td>
</tr>
<tr>
<td colspan="8" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Trust Google
</td>
<td>
2,011
</td>
<td>
3.53
</td>
<td>
2.89
</td>
<td>
0.00
</td>
<td>
1.00
</td>
<td>
6.00
</td>
<td>
10.00
</td>
</tr>
<tr>
<td style="text-align:left">
Trust Facebook
</td>
<td>
2,018
</td>
<td>
2.44
</td>
<td>
2.72
</td>
<td>
0.00
</td>
<td>
0.00
</td>
<td>
5.00
</td>
<td>
10.00
</td>
</tr>
<tr>
<td style="text-align:left">
Trust Researchers
</td>
<td>
2,010
</td>
<td>
6.40
</td>
<td>
2.53
</td>
<td>
0.00
</td>
<td>
5.00
</td>
<td>
8.00
</td>
<td>
10.00
</td>
</tr>
<tr>
<td style="text-align:left">
Trust Fedoffstats
</td>
<td>
2,017
</td>
<td>
5.98
</td>
<td>
2.92
</td>
<td>
0.00
</td>
<td>
4.00
</td>
<td>
8.00
</td>
<td>
10.00
</td>
</tr>
<tr>
<td style="text-align:left">
GDPR Awareness
</td>
<td>
2,023
</td>
<td>
0.49
</td>
<td>
0.50
</td>
<td>
0
</td>
<td>
0
</td>
<td>
1
</td>
<td>
1
</td>
</tr>
<tr>
<td style="text-align:left">
Female
</td>
<td>
2,023
</td>
<td>
0.49
</td>
<td>
0.50
</td>
<td>
0
</td>
<td>
0
</td>
<td>
1
</td>
<td>
1
</td>
</tr>
<tr>
<td style="text-align:left">
Privacy worry
</td>
<td>
2,021
</td>
<td>
1.74
</td>
<td>
0.72
</td>
<td>
0.00
</td>
<td>
1.00
</td>
<td>
2.00
</td>
<td>
3.00
</td>
</tr>
<tr>
<td style="text-align:left">
Device: Smartphone
</td>
<td>
2,019
</td>
<td>
0.81
</td>
<td>
0.39
</td>
<td>
0.00
</td>
<td>
1.00
</td>
<td>
1.00
</td>
<td>
1.00
</td>
</tr>
<tr>
<td style="text-align:left">
Device: Handy
</td>
<td>
1,951
</td>
<td>
0.37
</td>
<td>
0.48
</td>
<td>
0.00
</td>
<td>
0.00
</td>
<td>
1.00
</td>
<td>
1.00
</td>
</tr>
<tr>
<td style="text-align:left">
Device: Tablet
</td>
<td>
2,017
</td>
<td>
0.96
</td>
<td>
0.19
</td>
<td>
0.00
</td>
<td>
1.00
</td>
<td>
1.00
</td>
<td>
1.00
</td>
</tr>
<tr>
<td style="text-align:left">
Device: PC
</td>
<td>
1,997
</td>
<td>
0.53
</td>
<td>
0.50
</td>
<td>
0.00
</td>
<td>
0.00
</td>
<td>
1.00
</td>
<td>
1.00
</td>
</tr>
<tr>
<td style="text-align:left">
Device: Ereader
</td>
<td>
1,975
</td>
<td>
0.25
</td>
<td>
0.43
</td>
<td>
0.00
</td>
<td>
0.00
</td>
<td>
1.00
</td>
<td>
1.00
</td>
</tr>
<tr>
<td style="text-align:left">
Generalized Trust
</td>
<td>
2,021
</td>
<td>
4.93
</td>
<td>
2.56
</td>
<td>
0.00
</td>
<td>
3.00
</td>
<td>
7.00
</td>
<td>
10.00
</td>
</tr>
<tr>
<td colspan="8" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td colspan="8" style="text-align:left">
Note: Summary statistics for numeric variables.
</td>
</tr>
</table>
<pre class="r"><code># Categorical variables
  library(magrittr)
  library(qwraps2)
  options(qwraps2_markup = &quot;markdown&quot;)
  summary.table &lt;- summary.stats.fac %&gt;%
      summary_table(.)
  x &lt;- capture.output(print(summary.table, caption = &quot;Summary statistics: Categorical variables&quot;, markup = &quot;markdown&quot;,
        rtitle = &quot;Variable&quot;,
        cnames = c(&quot;Distribution (N/Prop.)&quot;)
        ))
  cat(x,file=&quot;./tableA3-B.Rmd&quot;,append=FALSE,sep=&quot;\n&quot;)
  markdownToHTML(file = &quot;./tableA3-B.Rmd&quot;, output = &quot;tableA3-B.html&quot;)</code></pre>
<p><br><br><br></p>
<pre class="r"><code>summary.stats &lt;- data %&gt;% filter(wave.num == 3) %&gt;% select(-pid) %&gt;% select(&quot;trust.google&quot;, &quot;trust.facebook&quot;, &quot;trust.researchers&quot;, &quot;trust.fedoffstats&quot;, &quot;gdpr.know.new&quot;,
                                                                                                      &quot;female&quot;, &quot;age.cat.fac&quot;, &quot;school.educ.num4.fact&quot;, &quot;privacy.worry.numeric&quot;, &quot;account.facebook.fac&quot;, &quot;account.google.fac&quot;, &quot;device.smartphone.dummy&quot;, &quot;device.handy.dummy&quot;, &quot;device.desktop.dummy&quot;, &quot;device.tablet.dummy&quot;, &quot;device.ereader.dummy&quot;, &quot;trust.generalized&quot;)


summary.stats &lt;- summary.stats %&gt;% rename(&quot;Trust Google&quot; = &quot;trust.google&quot;, 
                         &quot;Trust Facebook&quot; = &quot;trust.facebook&quot;, 
                         &quot;Trust Researchers&quot; = &quot;trust.researchers&quot;, 
                         &quot;Trust Fedoffstats&quot; = &quot;trust.fedoffstats&quot;, 
                         &quot;GDPR Awareness&quot; = &quot;gdpr.know.new&quot;,
                         &quot;Female&quot; = &quot;female&quot;, 
                         &quot;Age (cat.)&quot; = &quot;age.cat.fac&quot;, 
                         &quot;Education (cat.)&quot; = &quot;school.educ.num4.fact&quot;, 
                         &quot;Privacy worry&quot; = &quot;privacy.worry.numeric&quot;, 
                         &quot;Account: Facebook (cat.)&quot; = &quot;account.facebook.fac&quot;, 
                         &quot;Account: Google (cat.)&quot; = &quot;account.google.fac&quot;, 
                         &quot;Device: Smartphone&quot; = &quot;device.smartphone.dummy&quot;, 
                         &quot;Device: Handy&quot; = &quot;device.handy.dummy&quot;, 
                         &quot;Device: Tablet&quot; = &quot;device.desktop.dummy&quot;, 
                         &quot;Device: PC&quot; = &quot;device.tablet.dummy&quot;, 
                         &quot;Device: Ereader&quot; = &quot;device.ereader.dummy&quot;, 
                         &quot;Generalized Trust&quot; = &quot;trust.generalized&quot;)


summary.stats.num &lt;-  summary.stats  %&gt;% select_if(is.numeric)
summary.stats.fac &lt;-  summary.stats  %&gt;% select_if(is.factor)



stargazer::stargazer(summary.stats.num ,
  iqr = FALSE,
  summary = TRUE,
  type = &quot;html&quot;,
  font.size = &quot;footnotesize&quot;,
  table.placement = &quot;H&quot;,
  title = &quot;Wave 3&quot;,
  digits = 2,
  rownames = FALSE,
  header = FALSE,
  notes = &quot;\\parbox[t]{7cm}{Note: Summary statistics for numeric variables.}&quot;, # \\textwidth
  notes.append = FALSE,
  notes.align = &quot;l&quot;,
  out = &quot;./tableA4-A.html&quot;
)</code></pre>
<table style="text-align:center">
<caption>
<strong>Wave 3</strong>
</caption>
<tr>
<td colspan="8" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Statistic
</td>
<td>
N
</td>
<td>
Mean
</td>
<td>
St. Dev.
</td>
<td>
Min
</td>
<td>
Pctl(25)
</td>
<td>
Pctl(75)
</td>
<td>
Max
</td>
</tr>
<tr>
<td colspan="8" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Trust Google
</td>
<td>
2,079
</td>
<td>
3.70
</td>
<td>
2.79
</td>
<td>
0.00
</td>
<td>
1.00
</td>
<td>
6.00
</td>
<td>
10.00
</td>
</tr>
<tr>
<td style="text-align:left">
Trust Facebook
</td>
<td>
2,085
</td>
<td>
2.71
</td>
<td>
2.73
</td>
<td>
0.00
</td>
<td>
0.00
</td>
<td>
5.00
</td>
<td>
10.00
</td>
</tr>
<tr>
<td style="text-align:left">
Trust Researchers
</td>
<td>
2,081
</td>
<td>
6.44
</td>
<td>
2.51
</td>
<td>
0.00
</td>
<td>
5.00
</td>
<td>
8.00
</td>
<td>
10.00
</td>
</tr>
<tr>
<td style="text-align:left">
Trust Fedoffstats
</td>
<td>
2,083
</td>
<td>
6.13
</td>
<td>
2.79
</td>
<td>
0.00
</td>
<td>
5.00
</td>
<td>
8.00
</td>
<td>
10.00
</td>
</tr>
<tr>
<td style="text-align:left">
GDPR Awareness
</td>
<td>
2,088
</td>
<td>
0.50
</td>
<td>
0.50
</td>
<td>
0
</td>
<td>
0
</td>
<td>
1
</td>
<td>
1
</td>
</tr>
<tr>
<td style="text-align:left">
Female
</td>
<td>
2,088
</td>
<td>
0.50
</td>
<td>
0.50
</td>
<td>
0
</td>
<td>
0
</td>
<td>
1
</td>
<td>
1
</td>
</tr>
<tr>
<td style="text-align:left">
Privacy worry
</td>
<td>
2,084
</td>
<td>
1.70
</td>
<td>
0.72
</td>
<td>
0.00
</td>
<td>
1.00
</td>
<td>
2.00
</td>
<td>
3.00
</td>
</tr>
<tr>
<td style="text-align:left">
Device: Smartphone
</td>
<td>
2,086
</td>
<td>
0.84
</td>
<td>
0.36
</td>
<td>
0.00
</td>
<td>
1.00
</td>
<td>
1.00
</td>
<td>
1.00
</td>
</tr>
<tr>
<td style="text-align:left">
Device: Handy
</td>
<td>
2,032
</td>
<td>
0.34
</td>
<td>
0.47
</td>
<td>
0.00
</td>
<td>
0.00
</td>
<td>
1.00
</td>
<td>
1.00
</td>
</tr>
<tr>
<td style="text-align:left">
Device: Tablet
</td>
<td>
2,078
</td>
<td>
0.97
</td>
<td>
0.18
</td>
<td>
0.00
</td>
<td>
1.00
</td>
<td>
1.00
</td>
<td>
1.00
</td>
</tr>
<tr>
<td style="text-align:left">
Device: PC
</td>
<td>
2,062
</td>
<td>
0.54
</td>
<td>
0.50
</td>
<td>
0.00
</td>
<td>
0.00
</td>
<td>
1.00
</td>
<td>
1.00
</td>
</tr>
<tr>
<td style="text-align:left">
Device: Ereader
</td>
<td>
2,048
</td>
<td>
0.25
</td>
<td>
0.43
</td>
<td>
0.00
</td>
<td>
0.00
</td>
<td>
1.00
</td>
<td>
1.00
</td>
</tr>
<tr>
<td style="text-align:left">
Generalized Trust
</td>
<td>
2,083
</td>
<td>
5.02
</td>
<td>
2.51
</td>
<td>
0.00
</td>
<td>
4.00
</td>
<td>
7.00
</td>
<td>
10.00
</td>
</tr>
<tr>
<td colspan="8" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td colspan="8" style="text-align:left">
Note: Summary statistics for numeric variables.
</td>
</tr>
</table>
<pre class="r"><code># Categorical variables
  library(magrittr)
  library(qwraps2)
  options(qwraps2_markup = &quot;markdown&quot;)
  summary.table &lt;- summary.stats.fac %&gt;%
      summary_table(.)
  x &lt;- capture.output(print(summary.table, caption = &quot;Summary statistics: Categorical variables&quot;, markup = &quot;markdown&quot;,
        rtitle = &quot;Variable&quot;,
        cnames = c(&quot;Distribution (N/Prop.)&quot;)
        ))
  cat(x,file=&quot;./tableA4-B.Rmd&quot;,append=FALSE,sep=&quot;\n&quot;)
  markdownToHTML(file = &quot;./tableA4-B.Rmd&quot;, output = &quot;tableA4-B.html&quot;)</code></pre>
<p><br><br><br></p>
</div>
<div id="figure-a1-distributions-of-changes-from-wave-1-to-wave-2-for-different-variables" class="section level2">
<h2>Figure A1: Distributions of changes from Wave 1 to Wave 2 for different variables</h2>
<p>Graph displays changes from Wave 1 to Wave 2 for trust variables and gdpr variable. Respondents with wrong treatment status (1 -&gt; 0 and 1 -&gt; 1) are excluded.</p>
<pre class="r"><code>#  Plot of changes W1 to W2
p1 &lt;- ggplot(data.w1w2, aes(trust.google.diff)) +
  geom_histogram(fill=&quot;black&quot;) +
  ylab(&quot;Number of respondents&quot;) +
  xlab(&quot;Google&quot;) + theme_light()
p2 &lt;- ggplot(data.w1w2, aes(trust.facebook.diff)) +
  geom_histogram(fill=&quot;black&quot;) +
  ylab(&quot;Number of respondents&quot;) +
  xlab(&quot;Facebook&quot;)+ theme_light()
p3 &lt;- ggplot(data.w1w2, aes(trust.researchers.diff)) +
  geom_histogram(fill=&quot;black&quot;) +
  ylab(&quot;Number of respondents&quot;) +
  xlab(&quot;Researchers&quot;)+ theme_light()
p4 &lt;- ggplot(data.w1w2, aes(trust.fedoffstats.diff)) +
  geom_histogram(fill=&quot;black&quot;) +
  ylab(&quot;Number of respondents&quot;) +
  xlab(&quot;Fed. Stats. Office&quot;)+ theme_light()
p5 &lt;- ggplot(data.w1w2, aes(gdpr.know.num.diff)) +
  geom_histogram(fill=&quot;black&quot;) +
  ylab(&quot;Number of respondents&quot;) +
  xlab(&quot;GDPR&quot;)+ theme_light()


png(&quot;./figureA1.png&quot;)
plot &lt;- grid.arrange(p1, p2, p3, p4, p5, nrow = 3)
dev.off()</code></pre>
<pre><code>## png 
##   2</code></pre>
<pre class="r"><code>grid.arrange(p1, p2, p3, p4, p5, nrow = 3)</code></pre>
<p><img 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fWTTLpEwZ+uV6hLmFzC70S3mLgHaltOgGrkBpfwan8e/e//tumf/5+ZAP3g+8xCrlXT1RTSSzn+1MjFnUinwu7N0Jn0wtuWY1CNXNqJtNSfv4bX8FzCVwB/auTyYUwhN2bTLzwv9fiEOb/+PrhCKp3cwUwPARhUIxcPY9L4c86en8tMAlQG/tTI5QPpA05FN+pX8o/d/m4+02PuRmZ6GINBNXLxQHq1P2OimKQX3hz8qZHLp3LeuXo3+PH2ozOPc+/s+dFMj3vznGSmhzEYVCMXT+VU+fPoXhyTUYAmQz7jcaCphWyrpqsppJdy/KmR16/GlBg0ONv8nJkeVcCgGnn9akzb8fll9BN/moM/NXKjAJ3+XPLifIbHLJ4yx0wPczCoRm4SoKX+DGLS/+TV7Oi76B5TcLi/sLgoyixkWzVdTSG9lONPjVweoM8+Ducbv/3ommoMUxSg3GMyB4Nq5OIAVftzL75HH5nxMH1b/pB79ALwp0YuDdDpg3DPBQa95K2WD6OPLoTo5awABtXIhQGq9edhepTI4f0gMm++KllIt2q6mkJ6KcefGrk0QLc8b/W3k/f+Mf2jpxhHH12vM9OjAgWDul6hLiEM0OX+NIIATUGAauTycaDX4zlyT+cT5vLsxbeYmOlhDAbVyMXjQJf40wz8mQJ/auTimUjnFpOMd6KSDTn2NqNbTFzCVwCDauTSmUhL/GkI/kyBPzVyk7nwsUH3J8ViDS/jYfQEaAUwqEZuMBde409T8GcK/KmRm5Wzi5xZUu3mOz8ZSUcvvDkYVCM3Kmen8qcx+DMF/tTIbQTo0Xb8wK7ZjJkeFcCgGjkB6lyOPzVy6SV8eGM+dmahXNh2aiAyMz3MwaAaufASXufPCuDPFPhTIxd2Iu3MCzWEBg3Mmr1J/zI9keOImR7GYFCNXNaJpPNnFfBnCvypkQsDdH/inX0RGfTgcq5cWFxxKSS808lMD2MwqEYuC1CNPyuBP1PgT43cpJzd2mRl/XTwM1uvds/PBCgzPYzBoBq5QTm7cn9WAn+mwJ8auXgu/A+TZPdZ8CcGTYNBNXLpXHjL/nQ9AatLFPzpeoW6hLyYyOtv1oJ9d6JQDrSaQVVv9DIBa8oJUI1cXEwEfzYlx58aef16oJXAoCkwqEZevx5oFfBnCvypkUuncto5sB83q3qjlw6rKcegGrlwKif+bE6OPzVy6UB6CwUaMs2q3uilw2rKMahGLhxIjz+bk+NPjdxkJpJFMGgKDKqRG8xEsgj+TIE/NXKTYiIWwaApMKhGblBMxCL4MwX+1MjFM5FOWr3JhEFTYFCNXDoTCX82JsefGrkwQF9/7Xkn1jdirjLX2KYcg2rksgDFnw3K8adGLu5ESkO1G6tyDKqRSzuR8GdjcvypkROg7uUYVCMnQJ3L8adGzkB693IMqpEzkN65HH9q5ASoezkG1cgJUOdy/KmRE6Du5RhUIydAncvxp0ZOgLqXY1CN3EaA/vp73z9/88l84ej+pu+XLqRbVX1ULw1WU44/NXIC1L0cg2rkFgL0u3m12vlzZd6la3y/o+C3APypkROg7uUYVCOvH6B7/vk/zMIHy0Q5ue1fPH7KTGYh06rpagrppRx/auQEqHs5BtXIawfo0b35w7WDs83PeehhFfCnRu4qQF0Xku4SBYO6XqEuUTtA392Kr9C350/ajp47kzx2O7WQ9afq03qZgDXlBKhGzhmoezkG1cjt9cJHAbo9Px0Nrus/zC1kW1V9SC8NVlOOPzXyZQEa17l5/XO95gvNqt7opcNqyjGoRr4kQOX+jC7Uj+7FV+tvNi++yizkWjVdTSG9lONPjXxZgM4rLVJvsUk5BtXIlwSo3J/R9fqyAP0qwfWdiy7BLSYNywM0PMIToE3KCVCNfGmACv25Fw1jSmXmB99nFnKtmq6mkF7K8adGvvwS3jv56PlPl9779vkx9a/nMWgKDKqRL72El/lzb/N8eL+TS/gK4E+NfGkn0k5h91HtxrIcg2rkyzqRZP58GQ+jJ0ArgD818qUBOn1AgDYsx6Aa+bIAFfnzOz8Z6UkvvDn4UyMXDGOaPn/498nKlw+PeUTFb5tyDKqRLx/GtNSfR9v+heQeZzLkMx4H+mnmxVSrpqsppJdy/KmR81TOtuUll5wYtOY4UL0/t1NTNZmJZA7+1MiFT+W8U/8xM9lmVW/00mFGcgLUSC57KqfOny/TU92P7vkXFtPfMwvZVk1XU0gv5fhTI2cmUttyAtRIbmEqp58Q3uk8TBdgOqQakwD8qZHLA/T1N2uet7J2zcqcpBEbVBCg1Rw7DoMqUflzz88E6OzwfvC/m/EpZ2Yh3arpagrppZwA1cjFAXo8XORcvTWZN6t6o5cOM5IToEZyaYDiz8bkBKhGLg3Q0J8n1jeunLbj0BEblAA1kgsDFH82JydANXJhgO5PvJOPo/8d3Pai8g31GLFBCVAjuSxA8WeDcgJUIxcG6JZ3MunmnN72TtVbl9moDUqAGsllAYo/G5QToBq5cBjT7dRRfX9ykoH01eUEqJFcNowJfzYoJ0A18goD6W2Mqh+xQQlQI7n5QHr8aVlOgGrkBGjbcjsBWvIr4zBoKfizSTkBqpFLL+G9G4uFXY9LpBpyAtRILryEx5/NyQlQjdxWJ9K7W0lBm6P7m75/80nJQrpZ0/UU0gM5AWokpxPJuZwA1cjlw5hWv43+99Pl0mEi20lFsHfp2XHvmCpXgAA1kouHMen9aciI/VmEANXITQbSe2tra+GP4kDlo20/CdBt/+JxfYbMQqZZ0/UU0gM5AWokNxhIr/anMSP2ZxECVCMXT+V8Oon33sr1wnu/fpZMNKZc2FIIUCO5dCqnzp/m8FC5FAWvuV6hLiEvJjJ9diU4wq/fLd6gf+n7n/wzDtCXi5+f5hayBlW10oMErCknQI3k4mIian9WYMT+LCKwY4OtW5I7PwPV8PLCXxZPReCRCcsgQI3ktcvZVWLE/ixCgGrktuqBxhnJQ7uWQoAayQlQ53ICVCNvOUC/SnB968IdVQJU8Cntb0g7EKDO5QSoRt5cgH7wfWYh16zpegrpgbxKgAo+xfW2cwYqoZdyAlQj5xK+bTkBaiQnQJ3LCVCNnABtW06AGskJUOdyAlQjtxyg9MIvhQA1khOgzuUEqEZuO0CTIZ/xONBPMy+mmlV9Ti8dZiQnQI3kBKhzOQGqkdsOUGYiLYMANZIToM7lVfxpr3VLcscBunXmsf7zkwA9uudfWEx/zyxkmzVdTyE9kBOgRnJhNaZl/jRkxP4sQoBq5NKCyql6i6UsbnMepgswHVKNqQABaiQXFlRe5k9DRuzPIgSoRl6hIn0px/1Eh/eDyLz5qmQh3azpegrpgZwANZKbV6QvhXq11eUEqEZe4aFyNhixQQlQI7n5Q+VKoV5tdTn+1MiF90B3ksduW2LEBiVAjeSye6BL/Em92jpy/KmRCwP09deed2J9I+Yqz5xRyAXeaihAJaIlK18PpwGq9yf1amvJrfjT9ba7vgea2Rk89VAlF3hLEH1VDCoRLVn5ejjuRNL4k3q19eRW/Ol62wlQEa7lAm8Joq+KQSWiJStfjw4HKPVqa8mt+NP1tju+hLfNUA0q8JYg+qoYVCJasvL1cHoJvxRqNVSXW/Gn620nQEW4lgu8JYi+KgaViJasfD0GEaDUqy1hudUEmvZXux2MAnT6sxUzzwhQQ4pNVRItWfl6dCBANf6kXq1U3pA/XW+7+zPQZx+HN5fefnTNxlO7hmpQgbcaMqhEtGTl6+E6QPX+5BJeKm/In6633XWATh+EeyEw6CVvtXYX0nANKvBWQwaViJasfD3cBugyfxKgUnlD/nS97a4DdMvzVn87ee8f0z963sn656ADMWgVbzVkUInI6rZb1tcM0GX+pBdeKm/In6633XGA7nre9XjG8dOJhcINAzFoFW81ZFCJyOq2W9bXC9Cl/qRerVTekD9db7vjAN3yzi1KNux4p+qty2wwBq3irYYMKhFZ3XbL+noButSf1KuVyhvyp+ttdxug82INsUH3Jwykj6nirYYMKhFZ3XbL+loButyf1KuVyhvyp+ttdxugc2vGBl1eO2w5AzFoFW81ZFCJyOq2W9bXCtDl/qRerVTekD9dbzsBKoIA1YmsbrtlfVsBSr3aJTTkT9fb7voSPrwxHztz10I3/EAMWsVbDRlUIrK67Zb1NS/h8acteUP+dL3tjjuRohvzc4MGZqUTKaaKtxoyqERkddst6+t1IuFPa/KG/Ol62x0H6P7EO/siMujBZc9CdfqBGLSKtxoyqERkddst6+sFKP60Jm/In6633fVA+p1gH6xNVtZPBz/P1VuVqFnXNQDsIPBWFc3yD6nUci8RDqS37U/VGz1IwJryKv4UfIrrbXcdoLMfJsmusODPoRi0ircaMqhEZHXbLevrnYHiT5ncnT9db7vzAJ29/mYt2A8n7DyAeyAGreKthgwqEVnddsv6ugGKPyVy/GlbTj3QhCpfcBWbGLuzdFUqibT0xKDt0EF/WpHjT9tys3qgz+utRKpZ1RsEqMxrlURaemJQHYP2pxU5/rQtN6sHGjDYS6QqX3AVm5hZU7UqlUTLP0SwzSpcB+jQ/WlF3i9/5la+Ho4DdHp7seFnLVRU7qBBq3zBVWwit6VuVSqJln+IYJtVuA3Q4fvTirxf/sytfD3cBmjoz5X1/3j4tyvBltcfp9xFg1b5gqvYxNSc5avSUMsV9luC0wAdgT+tyO24RGAb+17rd4DuLkaHTL/2hlkPtMoXXMUmxu4sXZWGWq6w3xKcBqh1f7oe/toQxW9c8CvLkTQkEPUR8Vz449F1W8OcKlclTAQ2qaIRrEpDLVfYbwkuA3QM/rQit+MSgW3se63XZ6BvL6Wmxw20HmiVL7iKTYzdWboqDbVcYb8luAzQMfjTityOSwS2se+1ngdoypMDLWdX5QuuYhNjd5auSkMtV9hvCW4DdPj+tCK34xKBbex7rdcBOq/4HbM/GWS5sCpfcBWbGLuzdFUaarnCfktwewk/fH9akdtxicA2VrzWR3/qytkt/l9/tnEHDVrly6piE4FGsCoNtVxhvyU47UQagT+tyO24RGAbK17roz8Vq/j2kveb+LC+49W/QuqiQduyiUDjruXqu89tgI7An1bkdlwisI0Vr/XRn/lVnN7ZiLgyH2f3942J561fHeIlUls2EWjctVx99zkK0PH4s4q8IZcIbGPFa1U0ShwFaHBoLzLIm/Rt2USgcddy9d3nKEDH488q8oZcIrBNJdHyDzHc/jQEqAQCtF7L1XcfASqBe/T1Wq6w3xKcFxOxSh8M6s4m7lquvvucFxOxSh/8WUVjxyWCVWmo5Qr7LYEAlUCA1mu5+u4jQCUQoPVarrDfEghQCQRovZYFGtX+I0AF4M96LVfffe4D9MeHCx6JezmP7m/6/s0nxWZVAgzqtGWBRrX/XAco/qyi6bs/5TgO0ONndnkGN+nf3fJDPvi+0KzpegrBoPVaFmhU+89tgOLPcfpTjvNydinEBt32Lz6ZHd7zL77KN2u6nkIwaL2WBRrV/nNdzi5Fg/4U745y8Ge9lgUa1f5zPBfeW7n7fMHPwkbfbEbH9ne3zv8136xKUuW7Sb2n2kwrX3kVzfAMqtK4nQvfIX/q+KX8Q+x0CFXR4E8hdasxVSpS+9L/MP75ab5ZlaTKd5N6jwCt13INjdtqTB3ypw5VgAo+thkN/hRisZydnG3/8+jnXmzUVLMqiWCH6PYqBq3Xcg3NLxpNcf0L2CtnJ8eGP81+BX/Wa7mGpiV/qi7hqxj06F58afRmM3+TiQA1orWWa2h0BhVQ8xIef+JPvaYlfyrCeKfKJVKJQb9KcP0oE+gJ0nJ2+BNcIC5nl6pYW8Gg+YEiHeyFR97J5qXl7PAnchfNS8eBHlzyVjcShOXCqlwi9fpLGrPc8ThQ/IncSfPSAH2Qvh8gvOGEQUckdxyg+BO5k+bF90ArGLRKL2evv6Qxy90GKP5E7qZ5g4H05mW+k/F1BuPsev0ljVnufiA9/kTefvMVngsvp8JMj15/SWOWOx5Ijz+RO2m+0YH0R/f8C72ZC4+8k803OZAef45H7voSvtpTEg57VO0GeSebb3AgPf4ckdx5J1K1Z20f3g/8eTN/fE8NWAZYgsRn+BNckXWOIkCnt1euV3KoAtcbDf1B4if8Ca7IOkdxCX8neu624UDlSs5t7JNpvcut12sef9J6R5pXlrOrMs6uAmP+ksbcer3m8Setd6R5ApTW+9c8/qT1jjRf56kjNhjzlzTm1l03L2XM39GYWydAab3TrbtuXsqYv6Mxt06A0nqnW3fdvJQxf0djbr1ugL5+nkb60K4KjPlLGnPrNZvHn7TejeZddyIBmIM/oSMQoNA/8Cd0BMVA+h8fxvzpsrfy5aPmBioDmIM/oSMs70Tan5zEn9BZ8Cc4RNALX7VwA0Ab4E9whyBAOcRDl8Gf4A5BgFasXgvQCvgT3CE6A8Wg0F3wJ7hjeX56J4kAACAASURBVIBOt7ymLpHe3Uqejnh0f9P3bz5pphlN+76iQnnjuNngGIfbbf9Lx59NgD+F+0BVDzQptbhxZeI1dpN+O3m87DvVoxaa5c2mqy/K0QbHuNvumZ0vHX82DP6U7gPJQPqGDvBH236yrtv+xfKHfTVL8fngbeFog2PcbffMzpeOPxsGf0r3wfIAPXGtGX/++pmfrKv6cbPNsl14PnhLuNrgGGfbbetLx5/Ngj/F+8BZNaaXvv/JP+N1fbn42eqOO7rnxh/ONjjG5XY7/9KldGBV8WfbVPjS3QXohb8sTtW3/c+jny2fur+7dfE/gyPOv7V/q9zRBse42+4OfOlSOrCq+LNtKnzpTuuBxuu2OOK82Wz1nktyrzreU+3haoNjnG13hOMv3QT8iT+X7YMxB+hecML+avZf9/22rxgcG9TZdsetE6DS5vGni9ZrBWhqgMgxTT02triurQ5ceLk4WW/5To+rDY5xtt0R9b50/NkC+FO+D/IBmqu02Gy9xY6cjOy1PVrD9QbHtL7dcat1vnT82QKuNzimF/5sOUD3Mjc33Bh0L3+DpfXjbEcM6ub8otMBij9D8Ke9e6DPJp7NmR6lBm2506/EoG3bpBs90K7ucNn80vFnE+BPS73w0y8Ce64+trRqBZJ1S4ZatTvs7OieM5u42eAYh9udbtXGPsCfzYA/xftAG6BPg8P7SkMTPUKSdXU08WE7OVlvfbyE25ke7rY7xOKXjj8bAn/amInU8OF9dryuwa664GDq7ZvNcLjE4Wft36t2tMEx7rY7xNqXjj8bA3+K94E6QKPD+7/aXbkci3P0QzfFX17GRV/an/LgaINj3G33zN6Xjj8bBH9K94EqQA8aP7zP0jc5Du8Hq3qz9QPO4e99//wnLo5zjjY4ad3Zdtv60vFnwy3jT9k+UARoC4d3gMrgT+gGpQF6cDusstjw4R2gIvgTukJZgEaH9+utrwqACPwJnaEYoBzeocvgT+gQhQD9gcM7dBj8CV3CaTERAEPwJ3QKAhT6BP6ETuG0HiiAIfgTOoXTivQAAH2GAAUAqAgBCgBQEQIUAKAiBCgAQEUIUPu8/ubj8EETa9d+rvoJW95JOpahNjuZ0V6njPVvL5k9LmV/YvHxKv2AALVNVGgt5kzFGCRAwQYEaOMQoJbZn6Q9u1ptiDcBCjYgQBuHALVLlJ/v3w3j76cvJlVMG0KAgg12ak7SIkCXQoBaZXrb895bVAo6uOSt/LnKxxCgYAMCtHEIUKvsZidmB4aqdApKgIINCNDGIUCtsuV5N9LLD87cnf/nILyeXzlzfHKaW372cbB49kXs+EWA5n8NwICyAI3uLHlri6dBRxZ7/+4svZg4LgzQ6QP1+/nlJEB3K9/97x0EqE0Cw5Uf8pO7+clzfHLL4ZV/VFboi2yALjoBzraz/jAsigE6fZDr39zJOizruMDPZ+LyV/ERXW/kOEB3J6PJTwLUKqpL9sBmq98GB//L8Qlqfjk4cT37Ym7udIAGvxYe2l8/IEGhCule+HmU7kROmx1cjvs3d6Lq/qHzzsWLacdFxQNjZya/rjPyPED3R5SfBKhVdr3Se0CBD+cH8OBMM/Rxfnlx62gnE6DHcbxTsTMKxk0hQAPnzS0VWzBx4rERM44LA/Rcdnm5kUeVnwSoVY4DNLkoj3x3nH/zqCwux1dayS2AeYAeX4AFn1ZtPBSMmkKA7ibOixNvN7lnvxsbNeu441tS8+RdZuTw33HlJwFqFUWAbi18OfdhbjkVj1upAE2nJt3yUAFNL/zcadlfKDhuccIaLy8xchigZ1TdAAOFALXJ8SVQOkCD/yfxF/03v5waLJLuhc8+vWJUrgQ7lAfo658e3jk9d1T2wFxwXMqZYVYuM3IyDW9MQ5kIUJss7gkl7MQBmjmw55cJUGiGkgB9ejrtqOUBeiP1UcuMHAXo6mRUXiVArZIfB7ojPAM9tfj9TIBy4xPqUAjQ+YXR2sZ//LxVHqBZx1U4Az35YqfqBOZesiRApz8+fNTOigyD3Eyk+C575Xug3PhcAv7UUgjQeBTTLHHawomRBwuOywSo7B7ouSikM2cRg0YZoAf/Ho5yuByOuGUEjZjQPKkRRwe3487NxFHzXqbicmkv/Nbio8jSAvhTQD5Aj30UO23RCx9E342i445vSc2jdJmRF33x47mIVwXoTnyA4vabGdFtpNW7YSnl53+7HPfCVx8HGtt3d0zHdBH4U4I6QGOnLZy4lRgx47jQzXPjbZkYeUwX8YoAnV+KRvvzwLCgwMjZv5y+Ee+tRpOEUxM2zimWFTORVu8G7vza4wQ0C/4UobqE/yk5tIc7MjcTKe246HTgNy+iIuEq46aX4wCd3h7PxA9FgM7/gueja3f56zXheLZx4NHr8Z5bNhd+K47b/6WYC883kAV/iigE6Nvk8H7m6+PJmBH5ufDRPg0C9P++VPq+di58FMsj+U7KA3R6OzqCbMWHIa6RjJg+i56JdOLMt8evzYvWnP1ZtaysxhSOOjmuhQMR+FNGSTGRb06HxZO+Pe5xL1RjSjnuuBrTt8fva4y8uBe1NZrBoOUBOvdkvI8xaHsw40gE/oSOoAvQec8cBm2c7GASWAr+hI6gu4TfSe4zc1bULDupwSQjufKpB/6EjqDsRDoVdm+GzqSXs3GC3Fy5HsTC0zENoKsF/oRuoB7GFHJjNv3CG8+QBGfsJs9CXuXhHSLwJ3QD9UB6z4srAq4whrtxXj+Y931yLSoEf0InUE/lvHM1HMrw9iOeaAYdBH9CF6AaEwBARRS98HeuHl9M7l/5F64soUvgT+gIunGgZQsA7sGf0BEEAbo/waDQKfAndIRCgGbL+lPKAroF/oQuUTwD3S0alHEi0BnwJ3SIYoBO/8/GxpXJyvpGwu++LdEBuAF/QocQ3AMF6Bj4EzqCYBgTQMfAn9ARGEgPAFARXYA+T/hZ80sAjsCf4BxVgIaPkVrADSfoGPgTOoEiQLOj7TAodAv8Cd1AEaDh40p/9zDhEXfsoVPgT+gGqkd68Gwe6C74EzqCahwoVb6hu+BP6AgMpIf+gT+hI+ieygnQTfAndARlJxJPOoTugj+hGygCNDjEX293RQDk4E/oBqq58Fc877jgDROPoVPgT+gIqk4kj4HK0FnwJ3QEAhT6B/6EjkA1JgCAihCgAAAV0QbolDph0GHwJ7hGHaDPPg5vLr396BpdnNBB8Cd0AFWATh/M786/veStWrhF/xWAEJGh8Cc4IuscVYBued7qbyfv/WP6RyuP3Vb+VfxS73ORu5I31bwwQPEncifNCwN01/OuxyUbnk4sPHcbgw5N7jZA8SdyN80LA3QrnGsc17zZsVB7EYMOTe42QPEncjfNywJ0Xu0mNuj+pP5AZQw6NLnTAMWfyB01LwvQuTVjg9oovohBhyZ3GqD4E7mj5glQ5FbkBKgE5K7kri/hwxvzsTN3LXRzYtChyR1fwuNP5E6aF3YiRTfm5wa18gAvDDo0udtOJPyJ3E3zwgDdn3hnX0QGPbjsWXh8AgYdmtxtgOJP5G6alw6k3/E8b22ysn46+Gnh6QkYNIWXp9XWLcndBij+bFCOPzVyaYDOfpgku8/G02cwaAoMqpELAxR/NifHnxq5OEBnr79ZC/bdiTOP661I3KzqjV46rKYcg2rk0gDFn43J8adGLg9Qq2DQFBhUIxcHqFXwZwr8qZEToO7lGFQjJ0Cdy/GnRr40QF8/L1K/bi0GTYFBNfJlAYo/G5fjT418WYDmHtc1h5keVuUYVCNfEqD4s3k5/tTICVD3cgyqkROgzuX4UyNfFqDTHx9GfO15K1e/fPjwT6e9lWuPmCpnU45BNfIlAYo/m5fjT41c2IkUHOiT4XVPbTx2G4OmwKAauawTybo/f4EFBX+6XqEuYVJQOYaCtZblBKhGblBQOQZ/WpbjT43cpKByzP6EajdW5RhUIzcoqByDPy3L8adGblIPtGyhIhg0BQbVyA3qgZYtVAR/psCfGrk0QDNHeAxqVY5BNXJhgOLP5uT4UyMX3wM9Vfr/qmDQFBhUI5feA8Wfjcnxp0Yuf6zx2fmNpekDj8fG2pVjUI1c/Fhj/NmUHH9q5NK58FvBfnt/Y2MjrLd4tt6qRM2q3uilw2rKMahGLpwLjz+bk+NPjVwaoOGBPYZ6i5blGFQjFwYo/mxOjj81cpN6oOHR/cS1+pUaZhg0AwbVyA3qgeLPZuT4UyOnnJ17OQbVyCln51yOPzVyAtS9HINq5ASoczn+1MhNAtRmvUXXU1i7RMGgrleoSxgEKPVAm5EToBq5NEAPvkjtQAYqW5VjUI1cGKD4szk5/tTI5dWYMGhTcgyqkYurMeHPpuT4UyMXBuiO563+7mEC9RatyjGoRi4LUPzZoBx/auTSakwWpsdlmlW90UuH1ZRjUI1cWI0JfzYnx58aeYViIjbAoCkwqEZuXkzEBvgzBf7UyCuUs7MBBk2BQTVy83J2NsCfKfCnRl6hoLINMGgKDKqRmxdUtgH+TIE/NXJxJ5KNGcapZlVv9NJhNeUYVCOXdiLhz8bk+FMjFwZocIi/Xm8Fcs2q3uilw2rKMahGLgtQ/NmgHH9q5MJL+DtXPG9lfSPmKsNEbMoxqEYuu4THnw3K8adGLu1EyuxABipblWNQjVzYiYQ/m5PjT42cAHUvx6AaOQHqXI4/NXKqMbmXY1CNnGpMzuX4UyMnQN3LMahGToA6l+NPjZwAdS/HoBo5Aepcjj81cpNHeqx53soaj0ywLsegGrnBIz3wZzNy/KmRiwN0Z7H7eGiXZTkG1cilAYo/G5PjT41cGqChP0+sb1w5bcehGDQFBtXIhQGKP5uT40+NXBig+xPv5OPofwe3PQvzjjFoCgyqkcsCVO/PX3/v++dvPpkvHN3f9P3ShXSrpqsppJdy/KmRCwN0yzuZzO6wUnsRg6bAoBq5LEC1/vzOjzj/13Dh3a1o4YPvCwuZVk1XU0gv5fhTI69QjWl/cpKpcjblGFQjN6/GlPfnnn/+D7PZ4b15Tm77F5+ECxdf5RcyrZquppBeyvGnRl6hHqiN4osYNAUG1cjN64Hm/Hl0z/88/BmcbQY/32xGMfruVng+mlnItmq6mkJ6KcefGjkB6l6OQTXy2gH67lZ8hb7tfzqbvfQ/jBZeFhayrZquppBeyvGnRi5+JtKNxcKuxyW8VTkG1cilz0Ra7s8oQLfnp6PBdf2HuYVsq6arKaSXcvypkdOJ5F6OQTVyC51Ic6IL9aN78dX6m82LrzILuVZNV1NIL+X4UyOXD2Na/Tb630+XGcZkWY5BNXLxMKZl/oyu15cF6FcJv8CCgj9dr1CXMBlI762trYU/GKhsV06AauQGA+m1/tyLhjGlMvOD7zMLuVZNV1NIL+X4UyMXT+V8Oon3npVnJ2DQFBhUI5dO5Vziz73N8+H9Ti7hK4A/NXJ5MZHpsyvBEX79bskNemZ61JJjUI1cXExE48/w+n2elQRoBfCnRm6jnB0zPerJMahGbqWc3Xd+MtKTXnhz8KdGbhagz8teZKZHTTkG1ciNArTUn7Ojbf9CcghPhnzG40A/zbyYatV0NYX0Uo4/NXJ5gD77OLrDdOZx7vUjZnrUlGNQjVwcoCp/RofxxQEcf5qDPzVyaYBOby9239nsXSZmetSVY1CNXBigan8G7ktdAAWH+wuLi6LMQrZV09UU0ks5/tTIhQEa+nNl/cuHf7sy8VTj6JnpgUHty2UBqvFnfB8+JHThYfq2/CH36AXgT41cGKA7nveb+YF9+rWXmjaXgpkeGLQBuSxANf7c8zMBOju8H/zvZuzHzEK6VdPVFNJLOf7UyMVz4Y9HJ2+Vn4Iy06MqBYO6XqEuIZ0Lv9SfRhCgKQhQjVxajSlTb7GsGhMzPTBoE3JhNaal/jQDf6bAnxq5rXJ2zPSoLsegGnntcnaVwJ8p8KdGbqkiPTM9asgxqEZevyJ9FfBnCvypkYs7kU6V/j+GmR515BhUI5d2Imn9aQz+TIE/NXL5MKZkeN2Ol79CYqZHPTkG1cjFw5jU/qwA/kyBPzVy4SX8nXB83fq1h38Pf76/EXE1uVBipkc9OQbVyGWX8Fp/VgB/psCfGrm0E6mwE73FgZ6ZHjXlGFQjF3YiafxZBfyZAn9q5PUDlJkedeUYVCMnQJ3L8adGXr+cHTM96soxqEZupZydMfgzBf7UyG3UA60ABk2BQTVyAtS5HH9q5ASoezkG1cgJUOdy/KmRGwbo9MeHj+qtSNys6o1eOqymHINq5GYBij8bkONPjVwcoAf//mI2e3s52H2r9Z9qjEHTYFCNXBqg+LMxOf7UyOWPNQ47Nbei/cdAZbtyDKqRix9rjD+bkuNPjVwYoLuRLfcn3skXB5csPBgeg6bAoBq5LEDxZ4Ny/KmRCwN0ywsLNOx6Yc2GXY9iDVblGFQjlwUo/mxQXvBnNcOOw5/aakxzm1IuzLKcANXITaox4c9G5ASoRm5SD/TtpajODQa1LCdANXKDeqD4sxk5AaqRmwTo/iR62gwGtSwnQDVygwDFn83ICVCN3OQSfie6xcQ9JttyAlQjN7iEx5/NyAlQjVzciXQq7N4MnUkvp205AaqRSzuR8GdjcgJUI5cPYwq5MZt+4XmpxydUBYOmIEA1cvEwJvzZlJwA1cjlA+kDTkU36ldKHwtvBgZNQYBq5OKB9PizKTkBqpHLp3LeuXo3+PH2ozOP663JvFnVG710WE05AaqRi6dy4s+m5ASoRk41JvdyAlQjpxqTczkBqpEbBej053orkWpW9UYvHVZTToBq5CYBij8bkROgGrk8QJ99HM43fvvRtdpjRGYYNAMBqpGLAxR/NiUnQDVyaYBOH4Q7KjDoJW+1frEbDJqGANXIhQFq25+/wILlAep6DR0iDdAtz1v97eS9f0z/6FkYp0yApiFANXJhgOLP5uScgWrk8nGg1+M5ck/nE+bqgUFTEKAauXgcKP5sSk6AauTimUjnFpOMd6KSDfXAoCkIUI1cOhMJf1qSL49LAjSFyVz42KD7E4o1WJUToBq5wVx4/GlDToAayc3K2UXOpNqNZTkBqpEblbPDn/XlBKiRnAB1LydANXICtGU5AWokl17ChzfmY2daKRfmevRBlyj40fUKdQnhJbxtf6re6EEC1pQToEZyYSfSzrxQQ2jQwKzcpLcqr+ZHW61bkrvtRMKf1uQEqJFcGKD7E+/si8igB5cpF2ZZjkE1clmA4k9rcgLUSG5Szm5tsrJ+OvhZv17tmA1aBINq5Abl7PCnDTkBaiQXz4X/YZLsLQv+HLNBi2BQjVw6Fx5/WpIToEZyeTGR19+sBbvqhJVyi2M2aBEMqpGLi4ngTztyAtRITj1Q93IMqpFTD7RlOQFqJJdO5bRzYD9uVvVGDxxWU45BjeTCqZz405YcfxrJpQPpLRRoyDSreqMHDqspx6BGcuFAevxpS44/jeQmM5EsgkExqExuMBPJIvgTf8rkJsVELIJBMahMblBMxCL4E3/K5OKZSCet3mTCoBhUJpfORMKfluT400guDNDXX3veifWNmKvMNa4ux6BGclmA4k9rcvxpJBd3IqWh2k0NOQY1kks7kfCnJTn+NJIToG3LMaiRnABtWY4/jeQMpG9bjkGN5Aykb1mOP43kBGjbcgxqJCdAW5bjTyM5AWpVLvCWHYOW/Mo4DNoOQ/WnADv+rNp6Y3ICVIRrucBbdgxa8ivjMGg7DNWfAuz4s2rrjckJUBGu5QJv2TFoya+Mw6DtMFR/CrDjz6qtNyYnQEW4lgu8ZcegJb8yDoO2w1D9KcCOP6u23picABXhWi7wlh2DlvzKOAzaDkP1pwA7/qzaemNyAlSEa7nAW3YMWvIr4zBoOwzVnwLs+LNq643JCVARruUCb9kxaMmvjMOg7TBUfwqw48+qrTcmdxWgcZ2b1z/Xa77QrOqNHjhMJxd4y45BS35lHAbNIfXnu1sfxv87ur/p+zeflCykWzVdTSE9kNvxZ9XWG5O7CtB5pUXqLQrlAm/ZMWjJr4zDoDmk/tz24wB9d8sP+eD7wkKmVdPVFNIDOf40ki8P0PAIT4AK5QJvYVAj+dIAlfjzaNtPAnTbv/hkdnjPv/gqv5Bp1XQ1hfRAjj+N5Msv4b2Tj57/dOm9b58fU/96fqgGFXgLgxrJl17CC/z562d+EqBvNqPTzXe3zv81t5Bt1XQ1hfRAjj+N5Es7kXZK9hfVblRygbcwqJF8WSeSwJ8vff+Tf8YB+nLx89PcQrZV09UU0gM5/jSSLw3Q6YOlBg3hJv2MAG1CvixABf58eeEvs704K7f9z6Of0XJmIduq6WoK6YEcfxrJBcOYps8f/n2y8uXDYx4VK35zk35GgDYhXz6MSeTPOCOP7sVX6282L77KLORaNV1NIT2Q408juZ2ncnKTPpYLvIVBjeSWnsopDNCvEn4ZLVX8KfiU9jekHYRP5byjfcwMN+kTuSD7qhi02FTJr4w4QJf4c1YWoB98n1nItWq6mkJ6IMefRnIbM5G4Sb+QC7yFQY3klmYicQkvleNPI7k8QF9/s+Z5K2vXimOYuEm/kAu8hUGN5OIAVfszhACVyvGnkVwcoMfDRc6VvY1BZwRoE3JpgMr8OfYDvAD8aSSXBmjozxPrG1dOKxzKTfqIorcEv7IcQUMtbJwThAEq9OfiblJ8i+nTzIvHEKBGCD7F9bY7DtD9iXfycfS/g9teVL4hBzfpZ5yBNiGXBajUn2Pv5BSAP43kwgDd8k4m3ZzT296p4i9wCT8jQJuQywJU6s/AoP6Fxci6zEK2VdPVFNIDOf40kguHMd1OHdX3JycZqKyQC7yFQY3ksmFMUn/OZofpuR2HY5voIQB/GskrDKQvHbXMTfoZAdqE3HwgvdafQWjeDyLz5quShXSrpqspxLUcf9qW2w7Qkd+kx6C25ZYC1BD8iT9lcuklvHdjsbDraS6RRn6THoPalgsv4Zf50xD8iT9lcsudSGO/SY9BbcstdSIZgj/xp0wuH8a0+m30v58ua4eJjPwmPQa1LRcPY9L70xD8iT9lcpOB9N7a2lr4QzdQmZv0GNSq3GAgvc6fhuBP/CmTi6dyPp3Ee2Ller01mTeresO1w2rKMahtuXQqJ/6UyPGnbbm8mMj02ZXgCL9+t/YN+qhZ1RuuHVZTjkFty8XFRPCnQI4/bcttlLOrAAbFoDK5pXJ2huBP/CmTE6BW5RjUtpwAtSnHn7blBKhVOQa1LSdAbcrxp205AWpVjkFtywlQm3L8aVtOgFqVY1DbcgLUphx/2pYToFblGNS2nAC1KceftuUEqFU5BrUtJ0BtyvGnbTkBalXuzqAS0ZKVrwcBKqBleRWX4E8jOQFqVY5BbcsJ0BryKi7Bn0ZyaTWmM4/rtZ9vVvVGvwxakGNQ23JhNSb8WUYVl+BPI7m0oHKq3qINBmLQghyD2pYLCyrjzzKquAR/GskrVKS3wUAMWpBjUNty84r0NhiIP6u4BH8aySs8VM4GAzFoQY5BbcvNHypng4H4s4pL8KeRXHgPdCd57LYlBmLQghyD2pbL7oHiz1KquAR/GsmFAfr6a887sb4Rc5VnzszBoNb09QIUf5aCP63pa3cipeGphzEY1Jq+bicS/iwBf1rTE6BNyDGoNT0B2oAcf1rTM5C+CTkGtaZnIH0DcvxpTU+ANiHHoNb0BGgDcvxpTW8lQKc/11uJVLOqNzAoBs1gEqD4M0fP/VlFo8R5gD77OLy59Pajazae2oVBjbDTst1tt6yvHaD4s0jP/VlFo8RxgE4fhOsfGPSSt2ph0gcGNcJOy3a33bK+ZoDa9ucvg0Dgkiqa5R9SqWXBh1jYJ5aRBuiW563+dvLeP6Z/9LyT9Y/xBKgRdlq2u+2W9TUDFH+W0XN/VtEocXsGuut51+MZx08nFgo3YFAj7LRsd9st6+sFKP4spef+rKJR4jZAt7xzi5INO96peusy4xLJEDst9xJhOTvb/lS9QYCKPoQAzTIv1hAbdH/CQOWYKjYxNWe5byqJln+I4fancXkGij/LqeISU2+W26ahlg23P43jmUihJ2OD2qgdhkGNsNOy4EMMtz+N25lI+LOMKi4x9Wa5bRpq2XD70xCgEjCoidmqaJQQoALwZ72WDbc/jeNL+PDGfOzMXQvdnBjUCDstCz7EcPvTuL2EH6E/G3KJQOOu5eq7znEnUnRjfm7QwKzcpI9pyCYC31gxWxWNEqe98CPwZ1suEWjctVx99zkO0P2Jd/ZFZNCDy56F6t8dNGgVeUM2EfimoZYNtz+N0wAdgT875BJ3LVfffa5nIu0Ea782WVk/Hfw8V29VomZVb3TIoFU0dmwiWJWGWq6w3xLcDqQfoT/ducRdy9V3n+sAnf0wSTbCgj97YdAqGjs2EaxKQy1X2G8JjufCj8+f7lziruXqu895gM5ef7MWbMEJOw/g7oNBq2js2ESwKg21XGG/JbguJjI6f7pzibuWq+8+9wFqlT4YtIrGjk0Eq9JQyxX2W4LrALVKH/zpziXuWq6++zoRoNPn9VYi1azqjQ4ZtIrGjk0Eq9JQyxX2W0IHAnRc/nTnEnctV9997gM0rLcYMJ5LpCoaOzYRrEpDLVfYbwmuA3R0/nTnEnctV999rgN0enuxEWctVKztg0GraOzYRLAqDbVcYb8luA3QEfrTnUvctVx99zkO0NCfK+v/8fBvV4KtqD9OuRcGraKxYxPBqjTUcoX9luA0QMfoT3cucddy9d3nOEB3F6NDpl97w6y3WOXLasgmglVpqOUK+y3BaYCO0Z/uXOKu5eq7z/lc+OPRdVsjmSpXRWPHJoJVaajlCvstwfFc+PH5051L3LVcffe5rsaUmh430HqLHbKJu5ar7z7H1ZjwJ/7U04FydmULFcGgRrTWcvXd14FydmULFcGfRrTWcvXd5/oSPnOEIrETMgAAIABJREFUH2S5sA7ZxF3L1Xef40t4/Ik/9XSgnN3i//VnG2NQI1prufru60A5u8X/8adY03d/StZljtsAfXvJ+018WN/x6l8hYVAzWmu5+u5zG6D4s02XuGtZoFHtP0cBOr2zEXFlPs7u7xsTz1u/yiWSVNN3g8pxE6D404FL3LUs0Kj2n6MADQ7tRbhJL9b03aBy3AQo/nTgEnctCzSq/UeASsCg9Vqusp/i1wlQAfizXssCjWr/OS8mYhUMakRrLVfZT/HrrouJWKVtf1r5xqto+u5PybrMIUAlEKD1Wq6yn+LXCVABBGi9lgUaxR4mQEUQoPVarrKf4tcJUAEEaL2WBRrFHnYfoD8+XPBI3Mt5dH/T928+KTarEhCgTluuoXEdoJ3xp26nEqD1WhZoFHvYdYAeP7PLM7hJ/+6WH/LB94VmTddTCAFar+UaGrcB2iF/6nbqL+W/Ifgi8KdQo/padN+coOX65exSiA267V98Mju85198lW9WpSBAnbZcQ+O6nF2KBv1Z5atJvUeA1mu5hsZpgE5veyt3ny/4WbMuad5sRsf2d7fO/zXfrEpCgDptuYbmF41GsPvrlrNryZ+CTdP9CgFar+UaGqcB+vZSpSK1L/0P45+f5ptVSbhEctpyDY0uQJe3U7caU1v+FGyJ7lfwZ72Wa2gcB2ilscnb/ufRz73YqKlmVZLCeprtVQxar+UaGqMALWKvnJ2cCv5cvscI0AZbrqFxfAlfxaBH9+JLozeb+ZtMcoOa7VUMWq/lGhqXAYo/q2rwp5Da5ewqXCKVGPSrhF8AJEjL2eFPcIG4nF2qYm0Fg+YHinSwEwl5J5uXlrPDn8hdNC8dB3pwyVvdSBCWC6tyidTrL2nMcsfjQPEncifNSwP0Qfp+gPCGEwYdkdxxgOJP5E6aF98DrWBQK73wZiB3JXcboPgTuZvmDQbSm5f5TsbX2R0HqgO5K7nTAMWfyB01X+G58HJ6NRMJeSebN38uvBz8OR656wCtNFD56J5/oTdz4ZF3svkmB9Ljz/HIXV/CV3tKwmGPqjEh72TzDQ6kx58jkjvvRKr2rO3D+4E/b+aP76kBywBLkPgMf4Irss5RBOj09sr1Sg5V4HqjoT9I/IQ/wRVZ5ygu4e9Ez902HKhcybmNfTKtd7n1es3jT1rvSPPKcnZVxtlVYMxf0phbr9c8/qT1jjRPgNJ6/5rHn7TekeYlxcObZMxf0phbd928lDF/R2NunQCl9U637rp5KWP+jsbcOgFK651u3XXzUsb8HY259boB+vp5GulDuyow5i9pzK3XbB5/0no3mnfdiQRgDv6EjkCAQv/An9ARFAPpf3wY86fL3sqXj5obqAxgDv6EjrC8E2l/chJ/QmfBn+AQQS981cINAG2AP8EdggDlEA9dBn+COwQBWrF6LUAr4E9wh+gMFINCd8Gf4I7lATrd8pq6RHp3K3k64tH9Td+/+aSZZjTt+4oK5Y3jZoNjHG63/S8dfzYB/hTuA1U90KTU4saVidfYTfrt5PGy71SPWmiWN5uuvihHGxzjbrtndr50/Nkw+FO6DyQD6Rs6wB9t+8m6bvsXyx/21SzF54O3haMNjnG33TM7Xzr+bBj8Kd0HywP0xLVm/PnrZ36yrurHzTbLduH54C3haoNjnG23rS8dfzYL/hTvA2fVmF76/if/jNf15eJnqzvu6J4bfzjb4BiX2+38S5fSgVXFn21T4Ut3F6AX/rI4Vd/2P49+tnzq/u7Wxf8Mjjj/1v6tckcbHONuuzvwpUvpwKriz7ap8KU7rQcar9viiPNms9V7Lsm96nhPtYerDY5xtt0Rjr90E/An/ly2D8YcoHvBCfur2X/d99u+YnBsUGfbHbdOgEqbx58uWq8VoKkBIsc09djY4rq2OnDh5eJkveU7Pa42OMbZdkfU+9LxZwvgT/k+yAdortJis/UWO3Iystf2aA3XGxzT+nbHrdb50vFnC7je4Jhe+LPlAN3L3NxwY9C9/A2W1o+zHTGom/OLTgco/gzBn/bugT6beDZnepQatOVOvxKDtm2TbvRAu7rDZfNLx59NgD8t9cJPvwjsufrY0qoVSNYtGWrV7rCzo3vObOJmg2Mcbne6VRv7AH82A/4U7wNtgD4NDu8rDU30CEnW1dHEh+3kZL318RJuZ3q42+4Qi186/mwI/GljJlLDh/fZ8boGu+qCg6m3bzbD4RKHn7V/r9rRBse42+4Qa186/mwM/CneB+oAjQ7v/2p35XIsztEP3RR/eRkXfWl/yoOjDY5xt90ze186/mwQ/CndB6oAPWj88D5L3+Q4vB+s6s3WDziHv/f985+4OM452uCkdWfbbetLx58Nt4w/ZftAEaAtHN4BKoM/oRuUBujB7bDKYsOHd4CK4E/oCmUBGh3er7e+KgAi8Cd0hmKAcniHLoM/oUMUAvQHDu/QYfAndAmnxUQADMGf0CkIUOgT+BM6hdN6oACG4E/oFE4r0gMA9BkCFACgIgQoAEBFCFAAgIoQoAAAFSFAxWwdj5tZWWuwjG/I20sWn1MBA2EnM3jrlP5XVWO7fvridCA+8Tubc7nizzzz7fFL028mnvfen5OfW97JYQ6VIEDFbGXsu/LnJtsiQKGIhQCd3l7oz8aJ9vRfyqNN9XqBg8uLz1xd/FVsxQN0458EKGQDtNnR2wQoFKkfoKn89OJIU0WbOPJ2J+m1im27P/H+rxepnwQobB178nV4XdJkwhGgUER9XS791Z2wkMDPs9jBN8KX6gbobng5Fl28R585/9Dw1Rvpn4OFABWzlfbkrtfoIZUAhSK1AzQ4AX0vufcZnBue1J0bCgM0nFu7qI013Urube3mfg4WAlRMJkAD3xCg0C61AzSw1fGFf+znmgG6kz2T2IpvLRCgkEcRoAdfhAXWziQH4WjRe//uLL18/Pbsp+j9uBc/OCO48eyy5534c/KbsTAM0Ok3p4N3Ft39mQ9KC/MtwlApS8W8v559HCyefaE8A83dOd1J3blMWzP1utZfwSdmEjIwbtBwrF65suhw3cr8uaj/PHoHASomE6BPkwPv4sb+2eT1uD9y/ru5t6cPMu8H9ttIOqR20r8Y+PDMpfSt/twHpYT5FmGwlKRi3l9xJ9F7Xyjvgf7mRYn+XN6ax6/r/bU/yUXyVnjTUx2gGZcXVr+HEKBiUgH6/EFy1A4cEB4+Xz+YeyC8sRQsTr+Or2Ryb4fL4eiRcOBH+H7o98BdB3fnl0KPIxeHnxveWVoJTgXC8utl7RwL8y3CcEn3ws+9mPfXVuSvKAtLAzSqBrj+5c+pl1LRlrZm8voSf+3mO1PjF/KX8PGnZV1eWP0eQoCKyQ1jSuwV22oncsriHGGetvm3F/eg4jsAYQ7eSL8Q3eb/x9zo0RvBcvh6/oOOhbkWYcAUAjRvi2D5XPKb+nGga9eSEI2jLW/N48jT+msn38ser1J5gOZcnl/9PkKAitkq5mfqomp+eylnhPzbi1vqsYPiH7PUcI/dJGnjS/et+Po++0HHwv5aD0wpBGjeFouQm9+KLGV+pzO8JJ/feIyDMm/N4wDV+sssQHMuz69+HyFAxaQD9P35pLX09x5ZZDcZE1f+dvrD4gBd3OLMGP64uzR6o/BBx8JsizBk8vdA87ZILWuvR6Y/3jntedmL62OyvfNL/GUWoNkN0Px59AcCVExsrHByb3zwzj1gInx7fif+xPwCqfh2yOufHob+jQP0VPLhGQMdD2OKPFf4oJT3Mi3CkMkHaN4WqVFKS0c8hTc1C8OYUtZcvK73l9k90KzLy/88egYBKmZxUA8OsiuLO5d5C4TDSKILpLulbz89nV60EaCZFmHICAL0nOJXSz8tOnlcOC9rzePXtf4q74UnQKHI8VXRbnL5kxmYvOCn6AIp8FHh7fkt/LWN//h5yzRACx+UfmHRIgyZkgA9pVguD9D8UOZzs4Xz8tbMOFLtr/JxoOIA7emNzxRLAnT648NH7axI90m5bys+YB7fiswRXiBF96Syb+8sauAUAzT+8PlLuQAtfFDxpvu8xTrbB12n5B5o5itfeg80c8cy7rI/HmCUsWb+kK7yl3AmUhKgaZcr/3r6hDJAD/49HHYQFqpapZc3IuXJ8HAdD5ZLjr+RG/IOLr4dOyY+UB///qJ/MrD1jUKA5j/oWCjtN4ABUDitzNtiJxVQZWYIzLWYC59cbG8lA+qy1jx+Xe8v4Vz4XC/83OX51e8jqgBN/m57fHfCNmkD7ce1bJKKDIk3dlKDQYI3cm+nO91zAboYt7SVjAPNBGi+nWNhrkUYMIUAzdticUdSNQ40/IOO+tSn4UTg1HjPgjULw5hU/tqfZKsxnYvXRzcO9HiYdGb1+4giQHejvRht4AF1LeZkjsA7i5F40c315AIncMjK9XA+RzzQPfd2fJ30U3hiH4+HT47vu/mZSJkAzX9QJnkzLcJwKd7YzNkintpzPBMpP8oo028zj7YwIac/F6yZvF7i6JzNSuuBKmYi7RZmImVWv4coAjQ54w63fre3G2eXTIAuLuIXg5vnO2l/knVS9u23Se3uM1/nTiSLc+GzAZr7oJQw3yIMFt1c+PhvNJ7Qvvq/ygM0XVE5vjUX1vMMzJS3ZvJ63l/FAC2tSK8IUOVc+N5GTHmATm9Hm52cd3MNH5K9B5RcxM8OoufBLOrLTL9ZCxZPnE2GzWXfjioshRc88x7ITF9QvhrT/NXFH03mg9LCfIswVMqrMWXsN/spU42pLO7uhHZZOVY8DWx36kXemovXc/4q+cTwM/PPRFIFaLEaU3b1e0d5gM4zM96TBCgAQBm6AJ13lRGgAACl6C7h4w447oECAJSh7EQ6FXa/h8lJLzwAQCnqYUwhN2bTL5p+BDoAQE9RD6SfD2IIh4ExvBAAoAT1VM47V8OxBW8/6vEDnwAAmoRqTAAAFVH0wt+5etzxvn/lX+iFBwAooBsHWrYAAAAxggDdnxCgAABFCgGarbPf85n+AAANUjwD3S0GKOOYAACKFAN0+n82Nq5MVtY3En7HQ3MBAEoQ3AMFAIAyBMOYAACgDAbSAwBURBegzxOodQ4AUEQVoAdfpHrhuSEKAFBEEaDZ0aAEKABAEUWAhs8b/d3DhEf0KAEAFFA90iP1tEgAAChDNQ6UKvQAAEtgID0AQEV0T+UEAAANyk4knsQJAKBHEaDBKej1dlcEAKBvqObCX/G844JMTIwHACii6kTyGEgPAKCHAAUAqAjVmAAAKkKAAgBURBugU+rYAQAoUQfos4/Dm59vP7pGFzwAQBmqAJ0+mPcevb3krVroQvoKQEh9twG0hSpAtzxv9beT9/4x/aOVx8Iv/av4pc6nIx6OmACFPqEI0F3Pux6XFHk6sfBceAIUsUxMgEKfUAToVjgXPq7JtGOhNigBilgmJkChT+iqMcUBuj+pP5CeAEUsExOg0Cd09UDjALVRHJQARSwTE6DQJwhQxJ0SE6DQJ5TPRLqxSM5dC93wBChimZgAhT6hLKh8KglQKw+YI0ARy8QEKPQJRYDuT7yzL6IAPbjsWXi8BwGKWCYmQKFPqAbS73ietzZZWT8d/LTwdA/lX4WXp8qndzgPEBuKCVDoE8rA+mGSRJqNpyMRoIhlYgIU+oQ6sF5/sxbk2Ykzj200Q4AilokJUOgTLdUDJUARy8QEKPQJAhRxp8QEKPSJQmC9fl6kfl3lr35RUAhQ1S/COCBAoU/kAzT3ODlbD5XjDBSxTEyAQp8gQBF3SkyAQp/IB9b0x4cRX3veytUvHz7802lv5dqj5qZyEqCIMxCg0CcUgRWciCbDP5/aeCw8AYpYJiZAoU/oCirHNFpQmQBFnIEAhT6hK6gcsz9psBoTAYo4AwEKfUJXD7RsoSIEKGKZmACFPqEK0MwZKAGKuC0xAQp9QnkP9FTp/6tCgCKWiQlQ6BPqxxqfnd/4nD7wmnysMQGKOAMBCn1CFVhbQZa9v7GxEdYDPVu/GQIUsUxMgEKfUAVWeOIZQz1QxO2JCVDoE7p6oOHZ54lr9SuJzAhQxFIxAQp9gnJ2iDslJkChTxCgiDslJkChT+gCy2Y9UGX7BCjiNAQo9AlVYB18kQo1BtIjbktMgEKfUFdjIkAROxAToNAnFIG143mrv3uYQD1QxG2JCVDoE6pqTBamb6YhQBHLxAQo9AlBMZEiR99t+v7/84d44X6wcPNJyUIKAhSxTEyAQp8QlLMrcHjLj/gkXHg3X/jg+8JCGgIUsUxMgEKfEBRUznN0z7/wZHb0//nn/xosbfsXn8wO7/kXX+UX0hCgiGViAhT6hLITST0Dfi8+w3zpfzibvdmMFt7dCtM0s5CBAEUsExOg0CcUgRWcgl5XKIIT0M+Pl6IUjX5+mlvIQIAilokJUOgTikv4O1c8b2V9I+ZqehjTu1vpW5zbcZruhdmZWchAgCKWiQlQ6BOqTqRMqGV6lN5sXnz1z//X9y/8ZRaejsZX6+GrmYXsBxKgiGViAhT6RKUAvT/vhf90eYB+lfCLgkKAqn4RxgEBCn3C/IxvLxzA9Gp29F3YC5/KzA++zyxkRZyBIpaJCVDoE5UCdN5FtO1/yCU8YstiAhT6hHlgvdlUZSYBiri2mACFPqF7pMea562sFR7psbg+j/5DLzxiq2ICFPqEMrB2FpGWG1K/OM/cCyccJUM+43GgqYUMBChimZgAhT6hCqwwP0+sb1w5XUzQ7fj8cjuMSWYiIbYqJkChTygCa3/inXwc/e/gtpebF/9mM6y3NO+FjyfGx9PfMwsZCFDEMjEBCn1CEVhb3slk9lGxNujeZjQM9Hx0w/MwXYDpkGpMiOuJCVDoE4JqTPuTk7mK9Idh1c9/e5IsBJF581XJQgoCFLFMTIBCnxDUA9UXB5VBgCKWiQlQ6BMEKOJOiQlQ6BPKZyLdWCzsevlLeHMIUMQyMQEKfaJKJ1IFCFDEMjEBCn1CPYxp9dvofz9dzg9jqgIBilgmJkChT+gG0ntra2vhD/XTPcQQoIhlYgIU+oQysJ5O4kRTPtvDBAIUsUxMgEKfUAfW9NmV4Ax0/W7tDqQQAhSxTEyAQp+oFFjmEKCIZWICFPqEPrCe22qGAEUsExOg0CfUgfXs4+gO6JnHNpohQBHLxAQo9AlVYE1vLyLtrIW7oAQoYpmYAIU+oQisMD9X1r98+LcrE8/COHoCFLFQTIBCn1AE1o7n/WZ+4jn92ktN66wKAYpYJiZAoU8o58Ifj57fYion4tbEBCj0CVU1pkw9UKoxIW5LTIBCn6CcHeJOiQlQ6BOVKtKb89UvCgoBqvpFGAcEKPQJZSfSqdL/V4UzUMQyMQEKfUI9jCkZ/rnj1b+CJ0ARC8UEKPQJxSX8nXD85/q1h38Pf76/EXG1xoU8AYpYJiZAoU+oOpEKwebVOhElQBHLxAQo9AkCFHGnxAQo9AnK2SHulJgAhT5BgCLulJgAhT5BgCLulJgAhT6xJLCmPz58ZKMZAnTkYvH3TIBCn1Aa+eDfX8xmby8HVl+t/1RjAnTsYgIUBon6scZhp/tW7e73GAJ05GICFAaJwsi7UWzuT7yTLw4uWXgwPAE6cjEBCoNEYeQtLywgsuuFNUV2PQvFRJTtE6CjEBOgMEi01ZjmMUo5O8S1xQQoDBJdPdC3l6I6TAQo4tpiAhQGiS5A9yfR05AIUMS1xQQoDBLdJfxOdAuUe6CI64sJUBgkyk6kU2H3e5ic9MIjri8mQGGQqIcxhdyYTb/wvJX6I+kJ0JGLCVAYJOqB9AGnoo6klfqPhSdAxy4mQGGQqKdy3rl6N/jx9qMzj0vff7N58VX0n6P7m75/88msuJCCAB25mACFQVK1GtPRPX8eoO9u+SEffF9YSEOAjlxMgMIg0QbW9GflWy/9OEC3/YtPZodxnGYW0hCgIxcToDBI1IH17ONwPvzbj66VjWF6sxkH6JvN6HTz3a3zf80tZCBARy4mQGGQqIw8fRC6PAjQS95qcRh9cAH/3+f3QF/6H0avvPQ/zS1kIEBHLiZAYZCojLzleau/nbz3j+kfvZJx9Nv+h3En0rb/efTKXpidmYUMBOjIxQQoDBL1ONDr8RzOp/MJnWn2gsv3eYAe3Yuv1sPFzEJWQYCOXEyAwiBRzkQ6t5gEvxOVFEkR3eOUBehXCb8oKPxhqX4Reo34eyZAoU/o5sLHAbo/yRUT2Q5vcRYC9IPvMwvZD+QMdORizkBhkOjL2UXJma/G9DLqf+cSHrEBBCgMEvMAfbMZxSQBitgAAhQGieoSPuw4ipMzV87upb8guFCnFx6xBAIUBonCyDvzQiJhgAZhmulEygZoMuQzHgeaWshAgI5cTIDCIFEYeX/inX0RBejB5fJydvFlOjOREEsgQGGQ6MrZrU1W1k8HP0vrKccBenTPv7CY/p5ZyECAjlxMgMIgURr5h0li9fJ69ElH0WG6ANMh1ZgQl0KAwiBRB9brb9YCn59QlAM97mk/vB9E5s34lDOzkIIAHbmYAIVBUrUeqCEE6MjFBCgMEtVUTtWJZ0UI0JGLCVAYJKqB9IUCIvUgQEcuJkBhkOhmIlmEAB25mACFQaIrJmIRAnTkYgIUBolyJtJJqzdBCdCRiwlQGCQKI7/+2vNOrG/EXC17LJIRBOjIxQQoDBJlJ1Ka+jdECdCRiwlQGCQEKOI2xAQoDBIG0iNuQ0yAwiAhQBG3ISZAYZAQoIjbEBOgMEgIUMRtiAlQGCQEKOI2xAQoDBICFHEbYgIUBgkBirgNMQEKg4QARdyGmACFQUKAIm5DTIDCIMkbOa7D9Ppnu8189YuCwh+W6heh14i/ZwIU+kQ+QOeVQKkHitiumDNQGCTFAA3PQAlQxHbFBCgMkuIlvHfy0fOfLr337fNj6l/PE6AjFxOgMEgKRt4pWJ1qTIhriwlQGCQFI08fEKCIrYsJUBgkJUaePn/498nKlw+PeURFesT1xAQoDBKeyom4DTEBCoNE8VTOO/Ufg5SBAB25mACFQcJMJMRtiAlQGCTqwHr9zZrnraxdszIniQAduZgAhUGiNPLxcKZzFpohQEcuJkBhkKiMHObnifWNK6ftJCgBOnIxAQqDRGHk/Yl38nH0v4PbXlRepB4E6MjFBCgMEoWRt7yTSTf89LZ3qnYzBOjIxQQoDBLFMKbbqbPO/clJBtIjricmQGGQCAbS2xhVT4COXEyAwiAhQBG3ISZAYZCoLuG9G4uFXY9LeMQ1xQQoDBI6kRC3ISZAYZCohzGtfhv976fLDGNCXFtMgMIg0Q2k99bW1sIfhYH0v/7e98/ffDJfOLq/6fulCykI0JGLCVAYJEojP53ETl+5nn/rOz/i/F/DhXe3ooUPvi8spCFARy4mQGGQqANr+uxKcAa6frfQgbTnn//DbHZ4b56T2/7FJ+HCxVf5hTQE6MjFBCgMEvPAOrrnfx7+DM42g59vNqMYfXcrPB/NLGQgQEcuJkBhkJgH1rtb8RX6tv/pbPbS/zBaeFlYyECAjlxMgMIgqVFQOQrQ7fnpaHBd/2FuIQMBOnIxAQqDpHqARhfqR/fiq/U3mxdfZRayv0yAjlxMgMIgqR6g0fX6sgD9KuEXBYU/LNUvQq8Rf88EKPSJygG6Fw1jSmXmB99nFrK/zRnoyMWcgcIgqRqge5vnw/udXMIjFkGAwiCpGKAv42H0BChiEQQoDJJqAfqdn4z0pBcesQQCFAaJqhrTmcdqzdG2fyG5x5kM+YzHgX6aefEYAnTkYgIUBomqoHKqHmiB7dRUTWYiIZZAgMIgEVSkz/MyPdX96J5/YTH9PbOQgQAduZgAhUEieKhcjrjiUkh4p/MwXYDpkGpMiEshQGGQKIy8kzwWvsienwnQ2eH94H8341POzEIKAnTkYgIUBonCyK+/9rwT6xsxV3kmEuJ6YgIUBomyEykNT+VEXFNMgMIgIUARtyEmQGGQ1ChnZwIBOnIxAQqDhABF3IaYAIVBog2s6c+2miFARy4mQGGQqAPr2cfhzc+3H12r3QU/I0BHLyZAYZCojDx9ELo8CNBL3mrtLiQCdPRiAhQGicrIW563+tvJe/+Y/tHzTtY/ByVARy4mQGGQKIy863nX4xnxTye6wiJCCNCRiwlQGCSqcnbeuUVJkR3vVO1mCNCRiwlQGCS6YiJxgO5PGEiPuKaYAIVBoitnFweotradEAJ05GICFAYJAYq4DTEBCoNEdQkfdhzFyblroRueAB25mACFQaKsB3oqCdAgTOlEQlxTTIDCIFEYeX/inX0RBejBZU9dnV4MATpyMQEKg0Rl5J3A42uTlfXTwc9z9ZshQEcuJkBhkCiN/MMksbqF/Jx99YuCwh+W6heh14i/ZwIU+oT6jO/1N2uBz0/oHhAvhzPQkYs5A4VBQj1QxG2ICVAYJPp6oM9tNUOAjlxMgMIg0dcDDeASHrEFMQEKg0RZD/T2wupnLVRUJkBHLiZAYZAojBzm58r6fzz825XA6/XH0ROgYxcToDBI1PVA49FL06896oEirismQGGQKOfCH4/+3GIqJ+K6YgIUBomqGlNq+ib1QBHXFhOgMEh05ezKFipCgI5cTIDCINFVpI/Zn1DODnFNMQEKg0RXzm7x//qz4QnQkYsJUBgkCiO/veT9Jj7t3PHqX8EToGMXE6AwSPJGnt7ZiLgyHwf6942J561f5RIecT0xAQqDJG/k4NSzCJ1IiGuKCVAYJAQo4jbEBCgMEsrZIW5DTIDCICFAEbchJkBhkBCgiNsQE6AwSNSB9ePDBY/EvfBH9zd9/+aTwusE6MjFBCgMEpWRj58p5xl0Ir275Yd88H3+DQJ05GICFAaJupxdlQDd9i8+mR3e8y++yr1BgI5cTIDCIFGWs1u5+3zBz8IPe7MZnXu+u3X+r7l3CNCRiwlQGCSqakyViii/9D+Mf36ae4cAHbmYAIVBIihnJ2fb/zz6uRcH6TEE6MjFBCjEdrKTAAAIUklEQVQMEtUlfJUAPboXX7q/2czfBCVARy4mQGGQKMvZVbiELwnQrxJ+AZBAgEKfUJazS1VUlpIK0PxApqV/FT07oULclJgAhT6hupQ6uOStbiQIy9lVuYRP6PCfNOI2xQQo9AlVgD5I368S3hAlQBHXFhOg0CeU90ArBGiVXviEDv9JI25TTIBCn9AMpDcvQ5+M/zQYB5rQ4T9pxG2KCVDoE4LnwsupMBMpocN/0ojbFBOg0CesDqQ/uudfMJwLn9DhP2nEbYoJUOgTNgfSz2aHxtWYEjr8J424TTEBCn1C2YlU7Vnwh/eD/LyZP/9MDagHWEIl4wE4QRGg09sr12024/qPEvqDTd8BNIviEv5O9Fx4w4H0dXD3Z0PL42gZoAGU5eyqjAOtwRj/pGkZoOcQoLQ8jpYBGqClp3IuZYx/0rQM0HMIUFoeR8sADUCA0vI4WgZoAEWAvn6eRvpQuRqM8U+algF6Tlc6kQAAegcBCgBQEcVA+h8fxvzpsrfy5aPmB9IDAPSO5Z1I+5OT5CcAQBFBL3zVwiIAAMNGEKCcggIAlCEI0IrVlQEABo7oDJQABQAosjxAp1ue5Uv4o/ubvn/zifKlkveba/nX3/v++fild/OC+iUV9RtoOdtYe9t8dM9PCJtucJtn4adnn8/a0vcM0BKqeqBJKdCNKxPPcifSu+JzPzIvlbzfXMvfzeNj/hS8N5tNhUlJy5nGWtzmXIA2t80h29kHXLf0PQO0hWQgveUT0G3/Yv7Jc5mXSt5vrOU9//wfZuFL0Z9x8Xn2zbWcbazNbY55sxkdNZrb5iCrt/3sp7f0PQO0xfIAPXHNbn6WPPs485L62cj2Ww7Oxj6fRS9FP7cLz7NvrOVsY21uc0yw6Z/mV8Myv37mZwO0pe8ZoDXar8b0Mv6benn8l5t5qeT9xlp+dyu+gIxi5OheU3/LJduUaazNbV68EZ35NbfNQQv+J//MBGhL3zNAa7QfoNvzk770tWPmpZL3m2v5+K1Pwzi9+J/BSdO/2e/WKGk501j72xyfcze4zbOXF/6Sa7al7xmgNVoP0MUpz5vN5OZX5qWS95trOSG5qIw7Vz632m55y+nGHGxzcv7X2DbPyaRjS98zQHsQoCHzONkLrjlfzf7rvm/7qras5XRj7W/z4s5jY9s8iz+eAIUhkw/Q1ACmY2w+1jj1h5MMYMm8VPJ+cy3H7M3jIzkrs96vUtZyurH2t3kv6ftubJuTdsoDtMnvGaA98gGaqwRqvx5oB89A9zbPZy5g92yPrNFtU9hY69ucjD7IrobVlpOP5QwUhgwBGpyE5S5fmzwPLBmOmTkba2ebi1vY0HkgAQrDZtk90GcTz/JMpK71wn9XuP1n/09as01RY21vc7GdhmKMXngYNvoAnX4RxOfqY6stJuP+MuNAUy+VvN9cy7Ojbf/C4lZsY3/SxZazjbW7zak7ng1uc8nHtvQ9A7SGNkCfBqefK5YnInVqJlI0n/DV8f+jv/biDcImWs401vJMpNTo+ea2OSIboMxEgqGhCdAmTj9n0d/qhdwc6MxLJe831/LLdCtvNsMhPYeftdJyprFWtzk1AavJbY7IBmhL3zNAa6gDNDr9/NcGmjxMVeGJK1qkX8ouNNtyUsstnrP9Mi5MZH9aTsk2ZxprcZtn2RuezW1zyN5ivH6b3zNAW6gC9KCZ08+Iw/vB383N6E84+ZNOvZRbaLTlvUV+zv/QD8PioJ+00XK+sfa2eZYbs9TcNs8KAdrW9wzQEooAbez0EwBgMJQG6MHtsApoM6efAABDoSxAo9PP662vCgBAvygGKKefAAAiCgH6A6efAAAiWp8LDwAwFAhQAICKtF4PFABgKLT/TCQAgIFAgAIAVIQABQCoCAEKAFARAhQAoCIEaEO8/ubj8Gkoa9d+Tl7ZWgwLWzvzuPjiyvt38y95K2u2y1kDgEUI0EaIqgHGnIkzMBWMihdPvii85K382dU2AMAyCNAm2J+kM3B1Pg8hG4zzsCx7MfsSsxgAugsB2gBRfr5/N0zDn74I/n8qenUrycLpT+H5afJinKSz6dfBizfSvxfeB5hYfiYqAFiEALXP9HZw3ri4y3lwKb4MTwXjbMdbvHjyRerFU7nfm+16qV8AgG5BgNpnN3vdHZyPRmebmWDc8pIXj/Mx+MVwIfN7by8RoACdhQC1z9b8UnzBgzN35y9ngzFaSgdoHJYEKEBfIECtk2RjnkwwBpf50TV87gy0cAn/lEt4gO5CgFonuWTPkwnG8IbnvMcocw/0XPb3nj/w6EQC6C4EqHV2FZm3JEDDrvn4pLRsvBMAdA8C1DrHARp2xx+Phi8E6Px0M03cr0R+AvQDAtQ64gCdn4GmOFuYifT+t+2vPwBIIUCtc3wPVBegW/kAPZFMkI9/b/rNxFvl4agAXYYAtU5h5NFOSYCW9cLHLH4vSOKVGzMA6CwEqH3y40DLAjQeNK8N0PBmALVEADoMAWqf3Eyk0gAtm4m0eGvxe1vUEgHoMgSofcJbn6kzx4PbxQB9WjYXPib1e+EnlY4pBYAuQIA2wNtLYRG7u2Ep5ed/u1zoRJo++7ikGtOCdNCGdZ24DQrQVQjQJti/nBnLOe9MV9QD1QZoONqJi3iArkKANsL0wXFUrlwvqZ18dlGRXh+gXMQDdBgCtCGC6/RJNLpzMRQ+9Uyk9IOS9AHKRTxAhyFAAQAqQoACAFSEAAUAqAgBCgBQEQIUAKAiBCgAQEUIUACAihCgAAAVIUABACpCgAIAVIQABQCoCAEKAFARAhQAoCIEKABARQhQAICKEKAAABUhQAEAKkKAAgBUhAAFAKgIAQoAUJH/H0ht1k44cQ48AAAAAElFTkSuQmCC" width="672" /></p>
<p><br><br><br></p>
<p><br><br><br></p>
</div>
<div id="figure-a2-random-assignment" class="section level2">
<h2>Figure A2: Random assignment</h2>
<pre class="r"><code>ggplot(data %&gt;% filter(!is.na(randomization_gdprinfo_str)), aes(x=randomization_gdprinfo_str))+
  geom_bar(stat=&quot;count&quot;, width=0.7, fill = &quot;black&quot;)+
  theme_light() +
  ylab(&quot;Number of respondents (only Wave 3)&quot;) +
  xlab(&quot;Treatment assignment in Wave 3&quot;) +
  scale_x_discrete(labels = c(&quot;GDPR\n Information&quot;, &quot;No Information&quot;, &quot;Air Passenger Right\n Information&quot;))</code></pre>
<p><img 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" width="672" /></p>
<pre class="r"><code>ggsave(&quot;./figureA2.png&quot;, width = 7, height = 4)</code></pre>
<p><img 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" /></p>
<p><br><br><br></p>
</div>
<div id="figure-a3-participation-across-waves" class="section level2">
<h2>Figure A3: Participation across waves</h2>
<pre class="r"><code># Expand to get dataset with rows for non observations
data.expand &lt;- data %&gt;% expand(pid, wave.num)

# Right_Join with longformat data to real presence of respondents
data.expand &lt;- data %&gt;% right_join(data.expand) %&gt;% arrange(pid, wave.num)</code></pre>
<pre><code>## Joining, by = c(&quot;pid&quot;, &quot;wave.num&quot;)</code></pre>
<pre class="r"><code># Subset variables
data.expand &lt;- data.expand %&gt;% select(pid, wave.num, wave) # %&gt;% distinct()

# Spread dataset and arrange
data.expand &lt;- data.expand %&gt;% spread(wave.num, wave) %&gt;% arrange(pid)

# Rename wave variables
data.expand &lt;- rename(data.expand, wave1 = &quot;1&quot;, wave2 = &quot;2&quot;, wave3 = &quot;3&quot;)

# Create &quot;across_waves&quot; with information of presence in single waves
data.expand &lt;- unite(data.expand, across_waves, -pid)

# Aggregate to get observations per presence in different waves
data.expand &lt;- data.expand %&gt;% group_by(across_waves) %&gt;% summarize(n = n())

# Separate united variable
data.expand &lt;- data.expand %&gt;% separate(across_waves, c(&quot;Wave1&quot;, &quot;Wave2&quot;, &quot;Wave3&quot;), sep = &quot;_&quot;)

# Replace values of wave variables with N values
data.expand$Wave1[data.expand$Wave1 != &quot;NA&quot;] &lt;- data.expand$n[data.expand$Wave1 != &quot;NA&quot;]
data.expand$Wave2[data.expand$Wave2 != &quot;NA&quot;] &lt;- data.expand$n[data.expand$Wave2 != &quot;NA&quot;]
data.expand$Wave3[data.expand$Wave3 != &quot;NA&quot;] &lt;- data.expand$n[data.expand$Wave3 != &quot;NA&quot;]

# Delete groups only W2/W3 (N = 3) and only W1/W3 (N = 2)
data.expand &lt;- data.expand %&gt;% filter(n &gt; 5)

# Create barplot illustrating the sampels across waves
data.expand &lt;- gather(data.expand, key = wave, value = samples, -n)
data.expand$samples &lt;- as.numeric(data.expand$samples)</code></pre>
<pre><code>## Warning: NAs introduced by coercion</code></pre>
<pre class="r"><code># Raw original data (numbers change after deletion of 10 open-ended responses)
# fill &lt;- factor(data.expand$samples, levels = c(&quot;482&quot;, &quot;532&quot;, &quot;843&quot;, &quot;292&quot;, &quot;1269&quot;))
# fill.factor.levels &lt;- levels(fill)
# labels &lt;- recode(fill.factor.levels,
#   &quot;532&quot; = &quot;Only W1 (N = 532)&quot;,
#   &quot;292&quot; = &quot;W1 and W2 (N = 292)&quot;,
#   &quot;1269&quot; = &quot;W1, W2 and W3 (N = 1269)&quot;,
#   &quot;482&quot; = &quot;Only W2 (N = 482)&quot;,
#   &quot;843&quot; = &quot;Only W3 (N = 843)&quot;
# )

# Anonymized data
fill &lt;- factor(data.expand$samples, levels = c(&quot;482&quot;, &quot;531&quot;, &quot;841&quot;, &quot;291&quot;, &quot;1263&quot;))
fill.factor.levels &lt;- levels(fill)
labels &lt;- recode(fill.factor.levels,
  &quot;531&quot; = &quot;Only W1 (N = 531)&quot;,
  &quot;291&quot; = &quot;W1 and W2 (N = 291)&quot;,
  &quot;1263&quot; = &quot;W1, W2 and W3 (N = 1263)&quot;,
  &quot;482&quot; = &quot;Only W2 (N = 482)&quot;,
  &quot;841&quot; = &quot;Only W3 (N = 841)&quot;
)


# Get per Wave N for x-axis labels
data.expand %&gt;% group_by(wave) %&gt;% summarize(sum(samples, na.rm = T))</code></pre>
<pre><code>## # A tibble: 3 x 2
##   wave  `sum(samples, na.rm = T)`
##   &lt;chr&gt;                     &lt;dbl&gt;
## 1 Wave1                      2063
## 2 Wave2                      2020
## 3 Wave3                      2083</code></pre>
<pre class="r"><code>data %&gt;% group_by(wave) %&gt;% summarize(n = n())</code></pre>
<pre><code>## # A tibble: 3 x 2
##   wave       n
##   &lt;chr&gt;  &lt;int&gt;
## 1 Wave 1  2065
## 2 Wave 2  2023
## 3 Wave 3  2088</code></pre>
<pre class="r"><code>ggplot(data = data.expand, aes(
  x = wave,
  y = samples,
  fill = fill
)) + geom_bar(stat = &quot;identity&quot;) + scale_fill_manual(
  values = c(
    &quot;#e41a1c&quot;, &quot;#377eb8&quot;,
    &quot;#4daf4a&quot;, &quot;#984ea3&quot;, &quot;#ff7f00&quot;
  ),
  name = &quot;Participation&quot;,
  labels = labels
) + ylab(&quot;Sample size&quot;) + xlab(&quot;Panel wave&quot;) + scale_x_discrete(labels = c(
  &quot;Wave 1 (N = 2093)\nApr 16 - 23, 2018&quot;,
  &quot;Wave 2 (N = 2043)\nJul 24 - Aug 2, 2018&quot;,
  &quot;Wave 3 (N = 2112)\nOct 29 - Nov 7, 2018&quot;
))+ theme_light()</code></pre>
<pre><code>## Warning: Removed 7 rows containing missing values (position_stack).</code></pre>
<p><img 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" width="672" /></p>
<pre class="r"><code>ggsave(&quot;./figureA3.png&quot;, width = 8, height = 4)</code></pre>
<pre><code>## Warning: Removed 7 rows containing missing values (position_stack).</code></pre>
<p><br><br><br></p>
</div>
<div id="figure-a4-trust-means-across-waves" class="section level2">
<h2>Figure A4: Trust means across waves</h2>
<pre class="r"><code># Full sample trust means
trust.means.full.sample &lt;- data %&gt;%
  select(
    wave.num,
    trust.google,
    trust.facebook,
    trust.fedoffstats,
    trust.researchers
  ) %&gt;%
  gather(
    key = variable,
    value = value, trust.google:trust.researchers
  ) %&gt;%
  group_by(wave.num, variable) %&gt;%
  summarise_all(funs(mean(., na.rm = TRUE), 
                     n = sum(!is.na(.)), 
                     sd(., na.rm = TRUE))) %&gt;%
  mutate(
    se = sd / sqrt(n),
    ci_95 = qnorm(1 - 0.05/2)*se,
    ci_90 = qnorm(1 - 0.1/2)*se,
    ci_t = qt(1 - (0.05 / 2), n - 1) * se #for comparison
  ) %&gt;%
  mutate(Organization = recode(variable,
    &quot;trust.facebook&quot; = &quot;Facebook&quot;,
    &quot;trust.google&quot; = &quot;Google&quot;,
    &quot;trust.researchers&quot; = &quot;Researchers&quot;,
    &quot;trust.fedoffstats&quot; = &quot;Federal Statistical Office&quot;
  )) %&gt;%
  mutate(participation = &quot;Full Sample&quot;)</code></pre>
<pre><code>## Warning: `funs()` was deprecated in dplyr 0.8.0.
## Please use a list of either functions or lambdas: 
## 
##   # Simple named list: 
##   list(mean = mean, median = median)
## 
##   # Auto named with `tibble::lst()`: 
##   tibble::lst(mean, median)
## 
##   # Using lambdas
##   list(~ mean(., trim = .2), ~ median(., na.rm = TRUE))</code></pre>
<pre class="r"><code># Beware to calculate the right n for each variable



# Subsample (participation) trust means
data.expand &lt;- data %&gt;% expand(pid, wave.num)
data.expand &lt;- data %&gt;% right_join(data.expand) %&gt;% arrange(pid, wave.num)</code></pre>
<pre><code>## Joining, by = c(&quot;pid&quot;, &quot;wave.num&quot;)</code></pre>
<pre class="r"><code>participation &lt;- data.expand %&gt;% group_by(pid) %&gt;% summarise(participation = paste(wave, collapse = &quot;_&quot;))
data.expand &lt;- left_join(data.expand, participation, by = &quot;pid&quot;)

trust.means.subsamples &lt;- data.expand %&gt;%
  select(
    wave.num,
    participation,
    trust.google,
    trust.facebook,
    trust.fedoffstats,
    trust.researchers
  ) %&gt;%
  filter(participation != &quot;NA_Wave 2_Wave 3&quot;, participation != &quot;Wave 1_NA_Wave 3&quot;) %&gt;%
  gather(
    key = variable,
    value = value, trust.google:trust.researchers
  ) %&gt;%
  group_by(wave.num, participation, variable) %&gt;%
  summarise_all(funs(mean(., na.rm = TRUE),
    # n(),
    n = sum(!is.na(.)),
    sd(., na.rm = TRUE)
  )) %&gt;%
  mutate(
    se = sd / sqrt(n),
    ci_95 = qnorm(1 - 0.05/2)*se,
    ci_90 = qnorm(1 - 0.1/2)*se,
    ci_t = qt(1 - (0.05 / 2), n - 1) * se #for comparison
  ) %&gt;%
  mutate(Organization = recode(variable,
    &quot;trust.facebook&quot; = &quot;Facebook&quot;,
    &quot;trust.google&quot; = &quot;Google&quot;,
    &quot;trust.researchers&quot; = &quot;Researchers&quot;,
    &quot;trust.fedoffstats&quot; = &quot;Federal Statistical Office&quot;
  )) %&gt;%
  arrange(wave.num, Organization, participation)</code></pre>
<pre><code>## Warning in qt(1 - (0.05/2), n - 1): NaNs produced</code></pre>
<pre><code>## Warning in qt(1 - (0.05/2), n - 1): NaNs produced

## Warning in qt(1 - (0.05/2), n - 1): NaNs produced

## Warning in qt(1 - (0.05/2), n - 1): NaNs produced

## Warning in qt(1 - (0.05/2), n - 1): NaNs produced

## Warning in qt(1 - (0.05/2), n - 1): NaNs produced

## Warning in qt(1 - (0.05/2), n - 1): NaNs produced</code></pre>
<pre class="r"><code># Bind fulls sample and subsamples
means &lt;- bind_rows(trust.means.full.sample, trust.means.subsamples)

# Add lables for graph
means &lt;- means %&gt;%
  mutate(label = recode(participation,
    &quot;Wave 1&quot; = &quot;Full Sample&quot;,
    &quot;Wave 2&quot; = &quot;Full Sample&quot;,
    &quot;Wave 3&quot; = &quot;Full Sample&quot;,
    &quot;NA_NA_Wave 3&quot; = &quot;Only W3&quot;,
    &quot;NA_Wave 2_NA&quot; = &quot;Only W2&quot;,
    &quot;Wave 1_NA_NA&quot; = &quot;Only W1&quot;,
    &quot;Wave 1_Wave 2_NA&quot; = &quot;W1 and W2&quot;,
    &quot;Wave 1_Wave 2_Wave 3&quot; = &quot;W1, W2 and W3&quot;
  ))

# Only visualize trust means for full sample
means &lt;- means %&gt;% filter(label == &quot;Full Sample&quot;)

means$Organization &lt;- recode(means$Organization, &quot;Researchers&quot; = &quot;University Researchers&quot;)

# means$Organization &lt;- paste(means$Organization, &quot; (full sample)&quot;, sep =&quot;&quot;)

means$order1 &lt;- means$wave.num
means$order2 &lt;- recode(means$Organization,
  &quot;Google&quot; = &quot;1&quot;,
  &quot;Facebook&quot; = &quot;2&quot;,
  &quot;Federal Statistical Office&quot; = &quot;3&quot;,
  &quot;University Researchers&quot; = &quot;4&quot;
)

means &lt;- means %&gt;% arrange(order1, order2)


means$Organization &lt;- factor(means$Organization,
  levels = c(
    &quot;Facebook&quot;,
    &quot;Google&quot;,

    &quot;Federal Statistical Office&quot;,
    &quot;University Researchers&quot;
  )
)

pd &lt;- position_dodge(.6)


ggplot(means, 
       aes(
  x = wave.num,
  y = mean,
  colour = Organization,
  group = Organization
)) +
    geom_errorbar(aes(ymin = mean - ci_90, 
                    ymax = mean + ci_90), 
                colour=&quot;black&quot;,
                size = 1,
                width = 0.0, 
                position = pd, 
                linetype = &quot;solid&quot;) +
      geom_errorbar(aes(ymin=mean - ci_95, 
                    ymax=mean + ci_95,
                    color = factor(label)), 
                colour=&quot;black&quot;,
                size = 0.4,
                width=.1, 
                position=pd) +
  geom_line(position = pd, size = 0.6) +
  geom_point(position = pd, size = 1) +

  scale_x_continuous(breaks = c(1, 2, 3), labels = c(
    &quot;Wave 1 (N = 2093)\nApr 16 - 23, 2018&quot;,
    &quot;Wave 2 (N = 2043)\nJul 24 - Aug 02, 2018&quot;,
    &quot;Wave 3 (N = 2112)\nOct 29 - Nov 07, 2018&quot;
  )) +
  theme_light() +
  theme(axis.title.x = element_blank()) +
  ylim(0, 10) +
  ylab(&quot;Average trust on a scale\nfrom 0 = &#39;Not at all&#39; to 10 = &#39;Completely&#39;&quot;)</code></pre>
<p><img src="data:image/png;base64,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" width="672" /></p>
<pre class="r"><code>ggsave(&quot;./figureA4.png&quot;, width = 7, height = 4)</code></pre>
<p><br><br><br></p>
</div>
<div id="table-a5-balance-statistics-across-three-groups" class="section level2">
<h2>TAble A5: Balance statistics across three groups</h2>
<p>Table @ref(tab:table-balance-stats) provides balance statistics for sex and age.</p>
<pre class="r"><code>by.group &lt;- group_by(data, randomization_gdprinfo_str) %&gt;%
  summarise(
    mean.sex = mean(female,
      na.rm = TRUE
    ),
    mean.age = mean(age,
      na.rm = TRUE
    ),
    mean.gdpr.know.new = mean(gdpr.know.new,
      na.rm = TRUE
    ),
    mean.account.facebook.dummy = mean(data$account.facebook.dummy,
      na.rm = TRUE
    ),
    mean.account.google.dummy = mean(data$account.google.dummy,
      na.rm = TRUE
    ),
    n.total = n()
  )

by.group.display &lt;- data.frame(by.group)
by.group.display &lt;- by.group.display[-4, ]
by.group.display &lt;- data.frame(t(by.group.display))
variable &lt;- rownames(by.group.display)[-1]
by.group.display &lt;- by.group.display[-1, ]
names(by.group.display) &lt;- c(&quot;GDPR&quot;, &quot;None&quot;, &quot;PassRights&quot;)
by.group.display &lt;- by.group.display %&gt;% mutate_if(is.factor, funs(as.character(.))) %&gt;% mutate_if(is.character, funs(as.numeric(.))) %&gt;% mutate_if(is.numeric, funs(round(., 2)))
by.group.display$variable &lt;- variable

by.group.display &lt;- by.group.display %&gt;% select(4, 1, 2, 3)


table.balance &lt;- knitr::kable(by.group.display,
  row.names = FALSE,
  caption = &quot;Balance Statistics and observations&quot;, format = &quot;html&quot;, booktabs = T
) %&gt;%
  kable_styling(full_width = T, font_size = 12)

table.balance</code></pre>
<table class="table" style="font-size: 12px; margin-left: auto; margin-right: auto;">
<caption style="font-size: initial !important;">
Balance Statistics and observations
</caption>
<thead>
<tr>
<th style="text-align:left;">
variable
</th>
<th style="text-align:right;">
GDPR
</th>
<th style="text-align:right;">
None
</th>
<th style="text-align:right;">
PassRights
</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align:left;">
mean.sex
</td>
<td style="text-align:right;">
0.52
</td>
<td style="text-align:right;">
0.50
</td>
<td style="text-align:right;">
0.46
</td>
</tr>
<tr>
<td style="text-align:left;">
mean.age
</td>
<td style="text-align:right;">
46.15
</td>
<td style="text-align:right;">
45.60
</td>
<td style="text-align:right;">
45.74
</td>
</tr>
<tr>
<td style="text-align:left;">
mean.gdpr.know.new
</td>
<td style="text-align:right;">
0.50
</td>
<td style="text-align:right;">
0.48
</td>
<td style="text-align:right;">
0.49
</td>
</tr>
<tr>
<td style="text-align:left;">
mean.account.facebook.dummy
</td>
<td style="text-align:right;">
NA
</td>
<td style="text-align:right;">
NA
</td>
<td style="text-align:right;">
NA
</td>
</tr>
<tr>
<td style="text-align:left;">
mean.account.google.dummy
</td>
<td style="text-align:right;">
NA
</td>
<td style="text-align:right;">
NA
</td>
<td style="text-align:right;">
NA
</td>
</tr>
<tr>
<td style="text-align:left;">
n.total
</td>
<td style="text-align:right;">
1047.00
</td>
<td style="text-align:right;">
527.00
</td>
<td style="text-align:right;">
514.00
</td>
</tr>
</tbody>
</table>
<pre class="r"><code>save_kable(table.balance, &quot;tableA5-balance.html&quot;, self_contained = TRUE)</code></pre>
<p><br><br><br></p>
</div>
<div id="table-a8-effects-in-subsets" class="section level2">
<h2>Table A8: Effects in subsets</h2>
<ul>
<li>Create subsets of the data</li>
</ul>
<pre class="r"><code># Devices
table(data.did$number.devices)</code></pre>
<pre><code>## 
##   0   1   2   3   4   5 
##   2  25 426 436 182  64</code></pre>
<pre class="r"><code>data.did.number.devices.low &lt;- data.did %&gt;% filter(number.devices&lt;=2)
data.did.number.devices.high &lt;- data.did %&gt;% filter(number.devices&gt;=4)</code></pre>
<pre class="r"><code># Estimate models looping over datasets.


subsets &lt;- ls()[grepl(&quot;data\\.did\\.&quot;, ls())]


for(y in subsets){
  
# Exclude controls that conflict with subsetting variables
  if(str_detect(y, &quot;abitur&quot;)){
    controls &lt;- controls[!str_detect(controls, &quot;educ&quot;)]
  }
  if(str_detect(y, &quot;privacy.worry&quot;)){
    controls &lt;- controls[!str_detect(controls, &quot;privacy.worry&quot;)]
  }  


# Lm models for comparison of intercepts
outcomes &lt;- c(&quot;trust.google.diff&quot;, &quot;trust.facebook.diff&quot;, &quot;trust.fedoffstats.diff&quot;, &quot;trust.researchers.diff&quot;)
treatment &lt;- &quot;gdpr.know.num.diff&quot;


model.list &lt;- NULL
z &lt;- 1
for (i in outcomes) {
  
  # Construct models: Bivariate ####
  formula &lt;- paste(i, treatment, sep = &quot; ~ &quot;)
  model.object.name &lt;- paste(&quot;fit.lm.&quot;, i, &quot;.nocontrols&quot;, sep = &quot;&quot;)
  
  # Estimate bivariate PLM FD models
  assign(model.object.name, 
         lm(as.formula(formula),
               data = get(y)))

  # Store model results
  model.list[[z]] &lt;- get(ls()[str_detect(ls(), model.object.name)])
  names(model.list)[z] &lt;- model.object.name
  
  # Update counter
  z &lt;- z + 1

  
  # Construct models: With controls ####
  formula &lt;- paste(i, paste(c(treatment, controls), collapse = &quot; + &quot;), sep = &quot; ~ &quot;) # controls would need to be diffed as well
  model.object.name &lt;- paste(&quot;fit.lm.&quot;, i, &quot;.withcontrols&quot;, sep = &quot;&quot;)
  
  # Estimate LMs
  assign(model.object.name, 
         lm(as.formula(formula),
               data = get(y)))

  model.list[[z]] &lt;- get(ls()[str_detect(ls(), model.object.name)])
  names(model.list)[z] &lt;-model.object.name

  z &lt;- z + 1
}


# Automatize generation of outcome labels
outcomes &lt;- str_replace_all(str_extract_all(names(model.list), &quot;\\.[a-z_]*\\.[a-z_]*\\.[a-z_]*$&quot;), &quot;\\.withcontrols|\\.nocontrols&quot;, &quot;&quot;)
outcomes &lt;- gsub(&quot;\\.&quot;, &quot; &quot;, outcomes)
outcomes &lt;- gsub(&quot;^\\s&quot;, &quot;&quot;, outcomes)
outcomes &lt;- gsub(&quot;(^|[[:space:]])([[:alpha:]])&quot;, &quot;\\1\\U\\2&quot;, outcomes, perl = TRUE)
outcomes &lt;- unique(outcomes)

stargazer(model.list,
  type = &quot;html&quot;,
  title = &quot;&quot;,
  omit.stat = c(&quot;LL&quot;, &quot;ser&quot;, &quot;f&quot;, &quot;adj.rsq&quot;),
  t.auto = T, p.auto = T,
  dep.var.caption = &quot;Trust in organizations&quot;,
  dep.var.labels.include = FALSE,
  ci = FALSE,
  digits = 2,
  ci.level = 0.95,
  single.row = FALSE,
  label = &quot;tab:fe-within&quot;,
  table.placement = &quot;H&quot;,
  column.sep.width = &quot;-7pt&quot;,
  align = TRUE,
  column.labels = c(
    &quot;Google&quot;,
    &quot;Facebook&quot;,
    &quot;Federal Stat. Office&quot;,
    &quot;Univ. Researchers&quot;
  ),
  column.separate = c(2, 2, 2, 2, 2),
  model.names = FALSE,
  model.numbers = TRUE,
  star.cutoffs = c(0.05, 0.01, 0.001),
  notes = c(&quot;Data: Respondents to both Wave 1 and Wave 2 (balanced panel).&quot;,
            paste(&quot;Respondents of data subset &quot;, gsub(&quot;data.did.&quot;, &quot;&quot;,y), sep = &quot;&quot;)),
  header = FALSE,
  no.space = TRUE,
  font.size = &quot;tiny&quot;,
  out = paste(&quot;tableA9-subset-&quot;, gsub(&quot;\\.&quot;, &quot;-&quot;, gsub(&quot;data.did.&quot;, &quot;&quot;,y)), &quot;.html&quot;, sep=&quot;&quot;)
)
}</code></pre>
<table style="text-align:center">
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
Trust in organizations
</td>
</tr>
<tr>
<td>
</td>
<td colspan="8" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="2">
Google
</td>
<td colspan="2">
Facebook
</td>
<td colspan="2">
Federal Stat. Office
</td>
<td colspan="2">
Univ. Researchers
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1)
</td>
<td>
(2)
</td>
<td>
(3)
</td>
<td>
(4)
</td>
<td>
(5)
</td>
<td>
(6)
</td>
<td>
(7)
</td>
<td>
(8)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
gdpr.know.num.diff
</td>
<td>
0.40
</td>
<td>
0.48
</td>
<td>
-0.15
</td>
<td>
0.005
</td>
<td>
-0.06
</td>
<td>
-0.01
</td>
<td>
0.01
</td>
<td>
0.06
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.40)
</td>
<td>
(0.42)
</td>
<td>
(0.45)
</td>
<td>
(0.48)
</td>
<td>
(0.39)
</td>
<td>
(0.41)
</td>
<td>
(0.38)
</td>
<td>
(0.39)
</td>
</tr>
<tr>
<td style="text-align:left">
female
</td>
<td>
</td>
<td>
0.12
</td>
<td>
</td>
<td>
0.21
</td>
<td>
</td>
<td>
-0.34
</td>
<td>
</td>
<td>
-1.13<sup>**</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.43)
</td>
<td>
</td>
<td>
(0.49)
</td>
<td>
</td>
<td>
(0.42)
</td>
<td>
</td>
<td>
(0.39)
</td>
</tr>
<tr>
<td style="text-align:left">
age.cat.fac30to50
</td>
<td>
</td>
<td>
-0.33
</td>
<td>
</td>
<td>
-0.33
</td>
<td>
</td>
<td>
-0.41
</td>
<td>
</td>
<td>
-0.35
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.67)
</td>
<td>
</td>
<td>
(0.76)
</td>
<td>
</td>
<td>
(0.65)
</td>
<td>
</td>
<td>
(0.62)
</td>
</tr>
<tr>
<td style="text-align:left">
age.cat.facabove50
</td>
<td>
</td>
<td>
-1.01
</td>
<td>
</td>
<td>
-0.49
</td>
<td>
</td>
<td>
-0.32
</td>
<td>
</td>
<td>
0.13
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.70)
</td>
<td>
</td>
<td>
(0.80)
</td>
<td>
</td>
<td>
(0.68)
</td>
<td>
</td>
<td>
(0.65)
</td>
</tr>
<tr>
<td style="text-align:left">
school.educ.num4.factMittlere Reife
</td>
<td>
</td>
<td>
-0.17
</td>
<td>
</td>
<td>
-0.76
</td>
<td>
</td>
<td>
0.69
</td>
<td>
</td>
<td>
0.18
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.73)
</td>
<td>
</td>
<td>
(0.85)
</td>
<td>
</td>
<td>
(0.72)
</td>
<td>
</td>
<td>
(0.68)
</td>
</tr>
<tr>
<td style="text-align:left">
school.educ.num4.factFachhochschulreife
</td>
<td>
</td>
<td>
0.79
</td>
<td>
</td>
<td>
0.76
</td>
<td>
</td>
<td>
0.40
</td>
<td>
</td>
<td>
-0.17
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.89)
</td>
<td>
</td>
<td>
(1.03)
</td>
<td>
</td>
<td>
(0.88)
</td>
<td>
</td>
<td>
(0.83)
</td>
</tr>
<tr>
<td style="text-align:left">
school.educ.num4.factAbitur
</td>
<td>
</td>
<td>
-0.21
</td>
<td>
</td>
<td>
-0.52
</td>
<td>
</td>
<td>
0.42
</td>
<td>
</td>
<td>
0.13
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.74)
</td>
<td>
</td>
<td>
(0.87)
</td>
<td>
</td>
<td>
(0.73)
</td>
<td>
</td>
<td>
(0.70)
</td>
</tr>
<tr>
<td style="text-align:left">
privacy.worry.numeric
</td>
<td>
</td>
<td>
0.07
</td>
<td>
</td>
<td>
-0.19
</td>
<td>
</td>
<td>
-0.14
</td>
<td>
</td>
<td>
-0.03
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.29)
</td>
<td>
</td>
<td>
(0.33)
</td>
<td>
</td>
<td>
(0.28)
</td>
<td>
</td>
<td>
(0.27)
</td>
</tr>
<tr>
<td style="text-align:left">
account.facebook.facNo, but before
</td>
<td>
</td>
<td>
-0.52
</td>
<td>
</td>
<td>
-0.54
</td>
<td>
</td>
<td>
-0.10
</td>
<td>
</td>
<td>
1.00
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.99)
</td>
<td>
</td>
<td>
(1.14)
</td>
<td>
</td>
<td>
(0.97)
</td>
<td>
</td>
<td>
(0.93)
</td>
</tr>
<tr>
<td style="text-align:left">
account.facebook.facYes
</td>
<td>
</td>
<td>
0.28
</td>
<td>
</td>
<td>
0.41
</td>
<td>
</td>
<td>
0.43
</td>
<td>
</td>
<td>
0.61
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.58)
</td>
<td>
</td>
<td>
(0.66)
</td>
<td>
</td>
<td>
(0.57)
</td>
<td>
</td>
<td>
(0.54)
</td>
</tr>
<tr>
<td style="text-align:left">
account.google.facNo, but before
</td>
<td>
</td>
<td>
-0.36
</td>
<td>
</td>
<td>
0.92
</td>
<td>
</td>
<td>
0.70
</td>
<td>
</td>
<td>
-0.14
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(1.34)
</td>
<td>
</td>
<td>
(1.54)
</td>
<td>
</td>
<td>
(1.32)
</td>
<td>
</td>
<td>
(1.25)
</td>
</tr>
<tr>
<td style="text-align:left">
account.google.facYes
</td>
<td>
</td>
<td>
0.33
</td>
<td>
</td>
<td>
0.89
</td>
<td>
</td>
<td>
0.39
</td>
<td>
</td>
<td>
-0.76
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.66)
</td>
<td>
</td>
<td>
(0.74)
</td>
<td>
</td>
<td>
(0.64)
</td>
<td>
</td>
<td>
(0.61)
</td>
</tr>
<tr>
<td style="text-align:left">
device.smartphone.dummy
</td>
<td>
</td>
<td>
-0.65
</td>
<td>
</td>
<td>
0.08
</td>
<td>
</td>
<td>
0.42
</td>
<td>
</td>
<td>
1.21
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(1.03)
</td>
<td>
</td>
<td>
(1.17)
</td>
<td>
</td>
<td>
(1.00)
</td>
<td>
</td>
<td>
(0.96)
</td>
</tr>
<tr>
<td style="text-align:left">
device.handy.dummy
</td>
<td>
</td>
<td>
-0.01
</td>
<td>
</td>
<td>
0.36
</td>
<td>
</td>
<td>
0.80
</td>
<td>
</td>
<td>
0.66
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.54)
</td>
<td>
</td>
<td>
(0.61)
</td>
<td>
</td>
<td>
(0.52)
</td>
<td>
</td>
<td>
(0.50)
</td>
</tr>
<tr>
<td style="text-align:left">
device.desktop.dummy
</td>
<td>
</td>
<td>
5.21
</td>
<td>
</td>
<td>
2.49
</td>
<td>
</td>
<td>
-0.04
</td>
<td>
</td>
<td>
1.92
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(3.27)
</td>
<td>
</td>
<td>
(3.76)
</td>
<td>
</td>
<td>
(3.21)
</td>
<td>
</td>
<td>
(3.06)
</td>
</tr>
<tr>
<td style="text-align:left">
device.tablet.dummy
</td>
<td>
</td>
<td>
0.32
</td>
<td>
</td>
<td>
0.13
</td>
<td>
</td>
<td>
-0.55
</td>
<td>
</td>
<td>
1.09
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.98)
</td>
<td>
</td>
<td>
(1.13)
</td>
<td>
</td>
<td>
(1.01)
</td>
<td>
</td>
<td>
(0.92)
</td>
</tr>
<tr>
<td style="text-align:left">
device.ereader.dummy
</td>
<td>
</td>
<td>
-0.71
</td>
<td>
</td>
<td>
0.12
</td>
<td>
</td>
<td>
0.21
</td>
<td>
</td>
<td>
0.68
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.63)
</td>
<td>
</td>
<td>
(0.72)
</td>
<td>
</td>
<td>
(0.62)
</td>
<td>
</td>
<td>
(0.59)
</td>
</tr>
<tr>
<td style="text-align:left">
trust.generalized
</td>
<td>
</td>
<td>
-0.06
</td>
<td>
</td>
<td>
-0.06
</td>
<td>
</td>
<td>
-0.07
</td>
<td>
</td>
<td>
-0.24<sup>**</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.09)
</td>
<td>
</td>
<td>
(0.10)
</td>
<td>
</td>
<td>
(0.09)
</td>
<td>
</td>
<td>
(0.08)
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
-0.10
</td>
<td>
-4.13
</td>
<td>
0.21
</td>
<td>
-2.56
</td>
<td>
0.20
</td>
<td>
-0.32
</td>
<td>
0.36
</td>
<td>
-2.67
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.27)
</td>
<td>
(3.99)
</td>
<td>
(0.30)
</td>
<td>
(4.57)
</td>
<td>
(0.26)
</td>
<td>
(3.90)
</td>
<td>
(0.25)
</td>
<td>
(3.72)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
241
</td>
<td>
235
</td>
<td>
244
</td>
<td>
238
</td>
<td>
244
</td>
<td>
238
</td>
<td>
245
</td>
<td>
239
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.004
</td>
<td>
0.06
</td>
<td>
0.0004
</td>
<td>
0.04
</td>
<td>
0.0001
</td>
<td>
0.04
</td>
<td>
0.0000
</td>
<td>
0.10
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="8" style="text-align:right">
<sup><em></sup>p&lt;0.05; <sup><strong></sup>p&lt;0.01; <sup></strong></em></sup>p&lt;0.001
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8" style="text-align:right">
Data: Respondents to both Wave 1 and Wave 2 (balanced panel).
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8" style="text-align:right">
Respondents of data subset number.devices.high
</td>
</tr>
</table>
<table style="text-align:center">
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
Trust in organizations
</td>
</tr>
<tr>
<td>
</td>
<td colspan="8" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="2">
Google
</td>
<td colspan="2">
Facebook
</td>
<td colspan="2">
Federal Stat. Office
</td>
<td colspan="2">
Univ. Researchers
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1)
</td>
<td>
(2)
</td>
<td>
(3)
</td>
<td>
(4)
</td>
<td>
(5)
</td>
<td>
(6)
</td>
<td>
(7)
</td>
<td>
(8)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
gdpr.know.num.diff
</td>
<td>
0.13
</td>
<td>
0.10
</td>
<td>
-0.04
</td>
<td>
-0.18
</td>
<td>
0.04
</td>
<td>
-0.20
</td>
<td>
0.24
</td>
<td>
0.16
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.27)
</td>
<td>
(0.28)
</td>
<td>
(0.24)
</td>
<td>
(0.25)
</td>
<td>
(0.31)
</td>
<td>
(0.33)
</td>
<td>
(0.27)
</td>
<td>
(0.28)
</td>
</tr>
<tr>
<td style="text-align:left">
female
</td>
<td>
</td>
<td>
0.11
</td>
<td>
</td>
<td>
-0.06
</td>
<td>
</td>
<td>
-0.21
</td>
<td>
</td>
<td>
0.11
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.27)
</td>
<td>
</td>
<td>
(0.24)
</td>
<td>
</td>
<td>
(0.32)
</td>
<td>
</td>
<td>
(0.27)
</td>
</tr>
<tr>
<td style="text-align:left">
age.cat.fac30to50
</td>
<td>
</td>
<td>
0.33
</td>
<td>
</td>
<td>
0.29
</td>
<td>
</td>
<td>
-0.05
</td>
<td>
</td>
<td>
0.63
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.46)
</td>
<td>
</td>
<td>
(0.41)
</td>
<td>
</td>
<td>
(0.54)
</td>
<td>
</td>
<td>
(0.45)
</td>
</tr>
<tr>
<td style="text-align:left">
age.cat.facabove50
</td>
<td>
</td>
<td>
0.29
</td>
<td>
</td>
<td>
0.03
</td>
<td>
</td>
<td>
-0.04
</td>
<td>
</td>
<td>
0.53
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.47)
</td>
<td>
</td>
<td>
(0.42)
</td>
<td>
</td>
<td>
(0.55)
</td>
<td>
</td>
<td>
(0.46)
</td>
</tr>
<tr>
<td style="text-align:left">
school.educ.num4.factMittlere Reife
</td>
<td>
</td>
<td>
-0.24
</td>
<td>
</td>
<td>
0.39
</td>
<td>
</td>
<td>
0.72
</td>
<td>
</td>
<td>
0.38
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.35)
</td>
<td>
</td>
<td>
(0.32)
</td>
<td>
</td>
<td>
(0.42)
</td>
<td>
</td>
<td>
(0.35)
</td>
</tr>
<tr>
<td style="text-align:left">
school.educ.num4.factFachhochschulreife
</td>
<td>
</td>
<td>
-0.22
</td>
<td>
</td>
<td>
-0.18
</td>
<td>
</td>
<td>
-0.01
</td>
<td>
</td>
<td>
-0.39
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.51)
</td>
<td>
</td>
<td>
(0.45)
</td>
<td>
</td>
<td>
(0.60)
</td>
<td>
</td>
<td>
(0.50)
</td>
</tr>
<tr>
<td style="text-align:left">
school.educ.num4.factAbitur
</td>
<td>
</td>
<td>
-0.25
</td>
<td>
</td>
<td>
-0.10
</td>
<td>
</td>
<td>
0.71
</td>
<td>
</td>
<td>
0.31
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.41)
</td>
<td>
</td>
<td>
(0.36)
</td>
<td>
</td>
<td>
(0.48)
</td>
<td>
</td>
<td>
(0.40)
</td>
</tr>
<tr>
<td style="text-align:left">
privacy.worry.numeric
</td>
<td>
</td>
<td>
0.11
</td>
<td>
</td>
<td>
-0.06
</td>
<td>
</td>
<td>
0.19
</td>
<td>
</td>
<td>
0.36<sup>*</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.18)
</td>
<td>
</td>
<td>
(0.16)
</td>
<td>
</td>
<td>
(0.21)
</td>
<td>
</td>
<td>
(0.18)
</td>
</tr>
<tr>
<td style="text-align:left">
account.facebook.facNo, but before
</td>
<td>
</td>
<td>
-0.29
</td>
<td>
</td>
<td>
0.11
</td>
<td>
</td>
<td>
-0.18
</td>
<td>
</td>
<td>
-0.55
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.50)
</td>
<td>
</td>
<td>
(0.44)
</td>
<td>
</td>
<td>
(0.58)
</td>
<td>
</td>
<td>
(0.49)
</td>
</tr>
<tr>
<td style="text-align:left">
account.facebook.facYes
</td>
<td>
</td>
<td>
-0.11
</td>
<td>
</td>
<td>
0.20
</td>
<td>
</td>
<td>
0.14
</td>
<td>
</td>
<td>
0.42
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.33)
</td>
<td>
</td>
<td>
(0.29)
</td>
<td>
</td>
<td>
(0.38)
</td>
<td>
</td>
<td>
(0.33)
</td>
</tr>
<tr>
<td style="text-align:left">
account.google.facNo, but before
</td>
<td>
</td>
<td>
0.74
</td>
<td>
</td>
<td>
-0.18
</td>
<td>
</td>
<td>
0.59
</td>
<td>
</td>
<td>
0.55
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.67)
</td>
<td>
</td>
<td>
(0.57)
</td>
<td>
</td>
<td>
(0.75)
</td>
<td>
</td>
<td>
(0.63)
</td>
</tr>
<tr>
<td style="text-align:left">
account.google.facYes
</td>
<td>
</td>
<td>
0.24
</td>
<td>
</td>
<td>
0.05
</td>
<td>
</td>
<td>
0.20
</td>
<td>
</td>
<td>
-0.50
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.31)
</td>
<td>
</td>
<td>
(0.27)
</td>
<td>
</td>
<td>
(0.36)
</td>
<td>
</td>
<td>
(0.30)
</td>
</tr>
<tr>
<td style="text-align:left">
device.smartphone.dummy
</td>
<td>
</td>
<td>
0.57
</td>
<td>
</td>
<td>
1.46<sup>*</sup>
</td>
<td>
</td>
<td>
0.46
</td>
<td>
</td>
<td>
0.62
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.68)
</td>
<td>
</td>
<td>
(0.59)
</td>
<td>
</td>
<td>
(0.78)
</td>
<td>
</td>
<td>
(0.67)
</td>
</tr>
<tr>
<td style="text-align:left">
device.handy.dummy
</td>
<td>
</td>
<td>
0.70
</td>
<td>
</td>
<td>
1.57<sup>**</sup>
</td>
<td>
</td>
<td>
0.59
</td>
<td>
</td>
<td>
0.61
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.66)
</td>
<td>
</td>
<td>
(0.58)
</td>
<td>
</td>
<td>
(0.76)
</td>
<td>
</td>
<td>
(0.65)
</td>
</tr>
<tr>
<td style="text-align:left">
device.desktop.dummy
</td>
<td>
</td>
<td>
0.15
</td>
<td>
</td>
<td>
0.80
</td>
<td>
</td>
<td>
-1.81<sup>*</sup>
</td>
<td>
</td>
<td>
-1.73<sup>*</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.73)
</td>
<td>
</td>
<td>
(0.66)
</td>
<td>
</td>
<td>
(0.86)
</td>
<td>
</td>
<td>
(0.72)
</td>
</tr>
<tr>
<td style="text-align:left">
device.tablet.dummy
</td>
<td>
</td>
<td>
-0.54
</td>
<td>
</td>
<td>
-0.14
</td>
<td>
</td>
<td>
-2.63<sup>*</sup>
</td>
<td>
</td>
<td>
-2.00<sup>*</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.91)
</td>
<td>
</td>
<td>
(0.80)
</td>
<td>
</td>
<td>
(1.08)
</td>
<td>
</td>
<td>
(0.89)
</td>
</tr>
<tr>
<td style="text-align:left">
device.ereader.dummy
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
<td>
</td>
</tr>
<tr>
<td style="text-align:left">
trust.generalized
</td>
<td>
</td>
<td>
-0.03
</td>
<td>
</td>
<td>
-0.03
</td>
<td>
</td>
<td>
0.09
</td>
<td>
</td>
<td>
-0.002
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.05)
</td>
<td>
</td>
<td>
(0.05)
</td>
<td>
</td>
<td>
(0.06)
</td>
<td>
</td>
<td>
(0.05)
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
0.004
</td>
<td>
-0.91
</td>
<td>
0.25
</td>
<td>
-2.00
</td>
<td>
0.03
</td>
<td>
0.17
</td>
<td>
-0.11
</td>
<td>
-0.30
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.16)
</td>
<td>
(1.25)
</td>
<td>
(0.15)
</td>
<td>
(1.11)
</td>
<td>
(0.19)
</td>
<td>
(1.46)
</td>
<td>
(0.16)
</td>
<td>
(1.23)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
447
</td>
<td>
434
</td>
<td>
451
</td>
<td>
438
</td>
<td>
449
</td>
<td>
436
</td>
<td>
446
</td>
<td>
433
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.001
</td>
<td>
0.02
</td>
<td>
0.0001
</td>
<td>
0.04
</td>
<td>
0.0000
</td>
<td>
0.04
</td>
<td>
0.002
</td>
<td>
0.06
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="8" style="text-align:right">
<sup><em></sup>p&lt;0.05; <sup><strong></sup>p&lt;0.01; <sup></strong></em></sup>p&lt;0.001
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8" style="text-align:right">
Data: Respondents to both Wave 1 and Wave 2 (balanced panel).
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8" style="text-align:right">
Respondents of data subset number.devices.low
</td>
</tr>
</table>
</div>
<div id="figa5-correlation-matrices" class="section level2">
<h2>FigA5: Correlation matrices</h2>
<div class="figure" style="text-align: center">
<img 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N4VcBrLWx8AAAAUD/kOAAAVhyfwtUUQgr7eLqs7onUhAAAAUDbIdwAAKAs8gdeK6q11UfQP9vmCQrDXUe/12HLdp9fbPAFbBesDAACA4iHfAQCggvAEvqbo9TZnj50jIiF0VtS6GgAAACgH5DsAAJQHLuBrjt7UyhGRMD0jfR1xW61Wh1+kiNthtVqtVqvD7RdJ9DusVqvUGC/itsrLpMl4Q4z43Q55NVar1epwuP2RzDMJMeJ3O5KWSV5E2rDKxrKXAQAAsOgh3wEAYP5wAc+I6UFHb1CQ/i1QfWrjO6OZp6RTgrhIOEhEXKtJWjzidnT1+oKCkFhC6pOXmsmiX1osaZnkRaQTEJUnCGlbAwAAgHyQ7wAAUAxcwNcc8WxIICKu3pD0ohAMCpzd5Q0EAgGvN6NznZTwwXDq2DipiRtx9wYFIo6X1hIIBAJeF88REQm+wfh3iv4+n0BE8a25pCZ/iUWyJDzyHQAAIDvkOwAAzB8u4GuJKEakyWOI+I1pQ9xw9h559hm9SoKqJXxavktf2XuciTls9Ea5Rx5Fp+W0lk8veJdH2ZrRJi2TWLlqwiPfAQAA1CHfAQCgTDAKvVaCvdZsk8USx7sybsKvqM+ZnEYzT8FgMBxxGuXvlBI3fqJgdAYCzrxVKfluTt58xoC4elMr5xOE0FnRppyGIN8BAAAI+Q4AABWFC/hawnHcitaNHSZj5k341BZ3KtITXs53c8ZUNkSiKM7MzNB0OByKpvSYI5qZzmzepyIj4ZHvAAAA2SDfAQCgTHABrxXVeWLnQ0r46LRIRj2J/uOZ+S5G3H3H0xK9RHrbRt7XG1QSnpV8HyFqJ+ok6te6ElXR1zw/OTz4woWw9OXdLZ33de741pcai17R9MiRo/tefjf8xgWa76qK8d4rnmfdgz/7nVz/6s93Pujc8eg9893omR11tmP0zRfmPPfMu8TsPjjn+dnA4M8n5OJXNneu27DjG6tLKH4q9NKB/n87/NaE9KV5ZXvHVpujtcJ/G6zvPKzXD5AE+a4B5Hv5ilXBdP1MF0+Mn1wR+59/bUIf+IXDaOaVnmtqLeUi7q5eKd05juN53m53ubxer9RHbl5bYybfqV3rArKbCu5b0/rt7vgBjojeuHB4z7eb7t83Ei1mRdEX1tTf177HnzjAxVdVb/cUtapiTJ3ZsWbVpu54wBDRud8dfmJT09/vGHlvPit+Zavt2Lyry2Mq5FnTvrs7fvVORG9NHH56d9Nmz8gHRa1J9Gxe19T1k/jVOxGF3xru7nqkruhVFYH5nYfx+gEqDvmeF/K9qFUVg+n6mS6eGD+5IvY//9qFC/gFJJ65Kvku37Ln7N5AwOPxOJ1Om82Y2ZTPUJ8yR21BW0vvjVer1mhdQA7BfU12f1j1rTf87a37RgpcT/SFNa0H1NdDRHShu7Uyh7kzO5psx9S3e+5Y+6odhdaf7pWtf7/pcOllFSbkaeoaVi/+reH2dk/hxY/sfaT7rSzvFbmqIrC+87BeP0A1IN9zQr7jEK2K6eKJ8ZMrYv/zr2W4gF9IpMydPqtyf17q/JYRwpHBUEqLO339CqKMCWtEv8NqtVrdqbPYKAkfmY6mb63GTBHVEWX/09fatMfjl/95947h0Ftz02/NTb816bOZ5Vf9+45MF7KikZ8oB7i7bcOhl6X1zE2/NenboazqQnf3C1NlrZ5I8PQp93FX7x0+f2Xu6pW5q1cm/ZuVjR7b9+PiG3a+d3iNbtPhc2WrMgvR0z8s/3PltuHh03MXT89dPD3pbVeKH973L+lTIqsLedp/Lv2rudP7/OTF+Kq2Fb2qIrC+87BeP0CVIN/VId9xiF6YxRPjJ1fE/udf23ABv6AYzTxR0OcTiDh7R2biBnvdEeUKQoz43Y7eYNrfvrFDmlOm1+GXlxQj8syxGREuJ/zxkFDL+e4hatK6htyCR7vfICKiu3dMntxkWSG/3MjvGg3Jx6bwnqP571NGX9j3Qnw9uywr6uPvNPKbRqcPdUpfvHF6KFqu0omI6MyPu6UkWL138jedlr9RNrr2wOj5vXL9T/y4mPvEwsiP76tb9f1qnJKF/PIz85XbJo89YFkuv9zY6hgdli+8w0/7Cyl+5BXpRkDzwWF3f6s+3iOrsfWBxKreL/cFPOs7D+v1A1QN8j0T8h2H6ByYLp4YP7ki9j//GocL+IVFmi+WMjusycFNwd4uq6Sr1xcUOLvLntqoTi9PCyv45CW7eqV4z5z5Rk54oVbzfYSojqhb+XI417IaGjkt3aFsOXhwU/o4HCs2Hd3TQkRE/pNZZyVSCIJ0UO50ZKyHiOhLO+RVXZgoxzhHcSND0h3izx/s70zf7t90Hv3h54mI6NjJMwWtberMjjU6c/sTv5PW2enf21m2SlUkrrqfeiC9+OUPHN3ZTEREwydDedd07qT0+H1l273LM95crr9zfnVmw/zOw3j9AFWEfE+CfE+BQ7QKposnxk+uiP3Pv9bhAn6BkRM+c8AZvc3jdfFcfEgbjuNd3oDHZpQa1UWnxZQl7XzakqpD6irnEzWZ7/Su8o9Ookkii5a1ZDf97iUiIrp73b0rVN5u/Mo66T7lxffzNTTid0ltivp59fcbG24rucrshHf/nYiIVt9379+ovN247j65/qnCjqxTl6Qjtfmbe4fPv9y/tqJji4rvThJRlqtuosYvt8nFR/M+OV/dL7WZP5ZxI4CIPhAvEhGRuaG8/UhZ33lYrx+gqpDvCcj3tFXhEJ2O6eKJ8ZMrYv/zr3mYRq76jM5AwDnvxfU2T8BW3Nr1RqfHmPGe2jfojTan0VZwkbWZ70REZqKjRDU9v8TlCamJ0e23qpe54tY7icJE4cnLRPWqixRo6n3plKelucSRiVUJE1ITr79tVK//bxrl+t8RiArasHn15l39ByxqiVVu4oTUfr5Jr178cr1c/PsiUUnX3h+II6/69z0tDZLXvusb5b2AZ33nYb1+gHTI9+pBvifBIToD08UT4ydXxP7nX/PwBB7mQR6ftkbz3UE0WuPpThS9LD+bbbo1yxK3Nt9NRESXLs9vfI7XDuy5QJT1bmiJ3puS6/9MtgMn17yaiIj+faqQ+hsffXn0N9UKmPwPxvXNK4mIaFIs9sMf2buu7s51de2PtEtX7yu3DQ87yvyUiPWdh/X6ARYy5Pu8sX6IY7p+posnxk+uiP3Pv/bhCTyUSoy4e4NZRtMpyIcffljeiiC7kSe+LU0ZYr6vrcbPeRYEpXG+wkwVmwW+8ljfeQqtP+2IdNNNN1WyKoAahnxnyWI5RNckpotfABZvvuMCHooWcVt744NO1Pz0sEA0dcTerozhefRb82qqBAVrNq8kIgq/NUFE4beG29ujnV53f6vGZRWL9Z2H9foBqgr5zhrWD3FM18908QvAov78cQEPRTPUc0QCEXG8q0d18JvCLIAbYCyYOmJvktoXkW34pOoYnlB2escxt0P5YirkaeoaJpo43OVsHnY71AbMq02s7zzF1Y8jEgDynSmL6xBdY5gufgFY7PmOC3goWrbxdaDmTI884Wp/QTrAtRwM7arRkXoXusZWx+TOaNPTE0QTg6+KjjIPZVchrO88rNcPoAXkOzNYP8QxXT/TxS8A+PxxAQ9QYSNPrJRb+KQy73l5tLINfqY999/XLY0Cerdt+OAuy4pS1jLiuKX9Zyqvm38YHn201kf8HNm7rv3nKq+bdz4/Wt2r6MZvbOh8evdhovDpc1PfUJtqTg3zOw/j9QMA5MD6IY7p+pkunhg/uSL2P3/m4QIeQEv5J9LINxWHqugLa1oPSHN+0t07JivXuCv/RCb5pkLRUP5Z4vLNM1cEffNKorfmu5YUrO88rNcPAJAD64c4putnunhi/OSK2P/8ax+mkQPQVL6JNPJPxZEhuC9+gDNvOlThA1y+iUzyT4WioXyzxOWfZ05brO88rNcPAJAD64c4putnunhi/OSK2P/8ax6ewNci0e/o8gnE2b2ezCFgE2PE8q6AyhAz0jerfy9Un+WHb839MMf79bfdTvQG0Runh6KbHCvS35767WnpaHVnQ2FNkoL71tj9YSKilk5fbz8/34ZMFs+VOU+O97nb/pboHNG5l4fe63RkTDE6dfpluf5GDTLG8v3Tc9/P8b7+tiait4je+rehDx7IHFtu6tV/k4tfke9v6YOX1rT/JExE//Dk3PdXqy1wbrD4h/nM7zyM1w9Qfsj3BYT1QxzT9TNdPDF+ckXsf/7MwxP4WqQ3tXJEJEzPZL4nTkeVfwbDEZX3z4YEIq7VhHRnhGWdNGLQhe7uF9LvU0ZfeFgZY/N+voB1RV+IH+AOhnzVOcBZ7t1MRES/6956OL3+9w4//MTviIho8/1rq1BL0Sz3tBMR0UT3d19KL/6Dlx5+eoKIiNrvzzv323L9ndI/fj7gUZnxXfR89yfybeOyPsxnfudhvH6AoiHfFxPWD3FM18908cT4yRWx//nXOlzA1yR9/Qoi1QSX8pt4nsv1PvKdJfzDB6WGRm8caLp/30hUfnkqubHQnocLGGNz2tN9IH6Ay7zfWSlrHz0oPXI+9/2mv98x8p788tSZHWtWfV+u/4eP1ugYoa22g1Ir+rd+0rTZM6Jce0+FPPITdSLzTlsBxa/esbOZiIgmutudW0OJNvlToZe2bn6kW+793r6rvIPnsb7zsF4/QNGQ74sJ64c4putnunhi/OSK2P/8axya0Ncmo5mnYJCi0yIZk6NayXdzR300KAgZ79PMNPKdOfUOh63b7iciesPf3urPWMC2K21Iz/gwHsljeASPysNy0oXu1pXdOTa46dDcD79UjsolnKNnc7ftGBHRuWPtq45lLLB5V9qQqu8dluNn9d7J33Rq2otJ79ja3t01TET01nB7+3DGAhmX3PHW8iu3TR5LjCff+I3/9+Bp6UJ94nDXI4dVttV8cNhR7qxlfedhvX6AoiHfFxPWD3FM18908cT4yRWx//nXNjyBr1FGM09EQuismPLyzLSU70apF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" alt="Correlation plot: Privacy concern, generalized trust and trust judgments" width="672" />
<p class="caption">
Correlation plot: Privacy concern, generalized trust and trust judgments
</p>
</div>
</div>
<div id="table-a10-outcome-privacy-worry" class="section level2">
<h2>Table A10: Outcome privacy worry</h2>
<pre class="r"><code># Lm models for comparison of intercepts
outcomes &lt;- c(&quot;privacy.worry.numeric.diff&quot;)
treatment &lt;- &quot;gdpr.know.num.diff&quot;


model.list &lt;- NULL
z &lt;- 1
for (i in outcomes) {
  
  # Construct models: Bivariate ####
  formula &lt;- paste(i, treatment, sep = &quot; ~ &quot;)
  model.object.name &lt;- paste(&quot;fit.lm.&quot;, i, &quot;.nocontrols&quot;, sep = &quot;&quot;)
  
  # Estimate bivariate PLM FD models
  assign(model.object.name, 
         lm(as.formula(formula),
               data = data.did)
         )

  # Store model results
  model.list[[z]] &lt;- get(ls()[str_detect(ls(), model.object.name)])
  names(model.list)[z] &lt;- model.object.name
  
  # Update counter
  z &lt;- z + 1

  
  # Construct models: With controls ####
  formula &lt;- paste(i, paste(c(treatment, controls), collapse = &quot; + &quot;), sep = &quot; ~ &quot;) # controls would need to be diffed as well
  model.object.name &lt;- paste(&quot;fit.lm.&quot;, i, &quot;.withcontrols&quot;, sep = &quot;&quot;)
  
  # Estimate LMs
  assign(model.object.name, 
         lm(as.formula(formula),
               data = data.did))

  model.list[[z]] &lt;- get(ls()[str_detect(ls(), model.object.name)])
  names(model.list)[z] &lt;-model.object.name

  z &lt;- z + 1
}


# Automatize generation of outcome labels
outcomes &lt;- str_replace_all(str_extract_all(names(model.list), &quot;\\.[a-z_]*\\.[a-z_]*\\.[a-z_]*$&quot;), &quot;\\.withcontrols|\\.nocontrols&quot;, &quot;&quot;)
outcomes &lt;- gsub(&quot;\\.&quot;, &quot; &quot;, outcomes)
outcomes &lt;- gsub(&quot;^\\s&quot;, &quot;&quot;, outcomes)
outcomes &lt;- gsub(&quot;(^|[[:space:]])([[:alpha:]])&quot;, &quot;\\1\\U\\2&quot;, outcomes, perl = TRUE)
outcomes &lt;- unique(outcomes)

stargazer(model.list,
  type = &quot;html&quot;,
  title = &quot;&quot;,
  omit.stat = c(&quot;LL&quot;, &quot;ser&quot;, &quot;f&quot;, &quot;adj.rsq&quot;),
  t.auto = T, p.auto = T,
  dep.var.caption = &quot;Privacy concern&quot;,
  dep.var.labels.include = FALSE,
  ci = FALSE,
  digits = 2,
  ci.level = 0.95,
  single.row = FALSE,
  label = &quot;tab:fe-within&quot;,
  table.placement = &quot;H&quot;,
  column.sep.width = &quot;-7pt&quot;,
  align = TRUE,
  # column.labels = c(
  #   &quot;Google&quot;,
  #   &quot;Facebook&quot;,
  #   &quot;Federal Stat. Office&quot;,
  #   &quot;Univ. Researchers&quot;
  # ),
  column.separate = c(2, 2, 2, 2, 2),
  model.names = FALSE,
  model.numbers = TRUE,
  star.cutoffs = c(0.05, 0.01, 0.001),
  notes = c(&quot;Data: Respondents to both Wave 1 and Wave 2 (balanced panel).&quot;),
  header = FALSE,
  no.space = TRUE,
  # covariate.labels = c(
  #   &quot;GDPR Awareness (0 = No Change, 1 = Positive Change)&quot;,
  #   &quot;Female&quot;,
  #   &quot;Age: 30-49 (ref.:&lt;30)&quot;,
  #   &quot;Age: &gt;=50 (ref.:&lt;30)&quot;,
  #   &quot;Education (ref. Hauptschule): Mittlere Reife&quot;,
  #   &quot;Education (ref. Hauptschule): Fachabitur&quot;,
  #   &quot;Education (ref. Hauptschule): Abitur&quot;,
  #   &quot;Privacy concern&quot;,
  #   &quot;Account Facebook: No, but before (ref.: Never)&quot;,
  #   &quot;Account Facebook: Yes (ref.: Never)&quot;,
  #   &quot;Account Google: No, but before (ref.: Never)&quot;,
  #   &quot;Account Google: Yes (ref.: Never)&quot;,
  #   &quot;Device: Smartphone&quot;,
  #   &quot;Device: Cell phone (no smartphone)&quot;,
  #   &quot;Device: Desktop/Laptop&quot;,
  #   &quot;Device: Tablet&quot;,
  #   &quot;Device: eReader&quot;,
  #   &quot;Generalized trust&quot;),
  font.size = &quot;tiny&quot;,
  out = &quot;./tableA10.html&quot;
)</code></pre>
<table style="text-align:center">
<tr>
<td colspan="3" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="2">
Privacy concern
</td>
</tr>
<tr>
<td>
</td>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1)
</td>
<td>
(2)
</td>
</tr>
<tr>
<td colspan="3" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
gdpr.know.num.diff
</td>
<td>
-0.02
</td>
<td>
-0.02
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.04)
</td>
<td>
(0.04)
</td>
</tr>
<tr>
<td style="text-align:left">
female
</td>
<td>
</td>
<td>
0.04
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.04)
</td>
</tr>
<tr>
<td style="text-align:left">
age.cat.fac30to50
</td>
<td>
</td>
<td>
0.03
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.06)
</td>
</tr>
<tr>
<td style="text-align:left">
age.cat.facabove50
</td>
<td>
</td>
<td>
0.13<sup>*</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.06)
</td>
</tr>
<tr>
<td style="text-align:left">
school.educ.num4.factMittlere Reife
</td>
<td>
</td>
<td>
0.05
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.05)
</td>
</tr>
<tr>
<td style="text-align:left">
school.educ.num4.factFachhochschulreife
</td>
<td>
</td>
<td>
0.03
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.07)
</td>
</tr>
<tr>
<td style="text-align:left">
school.educ.num4.factAbitur
</td>
<td>
</td>
<td>
0.10
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.06)
</td>
</tr>
<tr>
<td style="text-align:left">
privacy.worry.numeric
</td>
<td>
</td>
<td>
-0.42<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.02)
</td>
</tr>
<tr>
<td style="text-align:left">
account.facebook.facNo, but before
</td>
<td>
</td>
<td>
0.09
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.07)
</td>
</tr>
<tr>
<td style="text-align:left">
account.facebook.facYes
</td>
<td>
</td>
<td>
-0.03
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.05)
</td>
</tr>
<tr>
<td style="text-align:left">
account.google.facNo, but before
</td>
<td>
</td>
<td>
0.07
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.09)
</td>
</tr>
<tr>
<td style="text-align:left">
account.google.facYes
</td>
<td>
</td>
<td>
0.001
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.04)
</td>
</tr>
<tr>
<td style="text-align:left">
device.smartphone.dummy
</td>
<td>
</td>
<td>
0.04
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.06)
</td>
</tr>
<tr>
<td style="text-align:left">
device.handy.dummy
</td>
<td>
</td>
<td>
0.04
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.04)
</td>
</tr>
<tr>
<td style="text-align:left">
device.desktop.dummy
</td>
<td>
</td>
<td>
-0.30<sup>**</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.10)
</td>
</tr>
<tr>
<td style="text-align:left">
device.tablet.dummy
</td>
<td>
</td>
<td>
0.02
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.04)
</td>
</tr>
<tr>
<td style="text-align:left">
device.ereader.dummy
</td>
<td>
</td>
<td>
0.01
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.04)
</td>
</tr>
<tr>
<td style="text-align:left">
trust.generalized
</td>
<td>
</td>
<td>
-0.02<sup>*</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.01)
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
0.05
</td>
<td>
0.94<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.02)
</td>
<td>
(0.14)
</td>
</tr>
<tr>
<td colspan="3" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
1,186
</td>
<td>
1,104
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.0001
</td>
<td>
0.24
</td>
</tr>
<tr>
<td colspan="3" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="2" style="text-align:right">
<sup><em></sup>p&lt;0.05; <sup><strong></sup>p&lt;0.01; <sup></strong></em></sup>p&lt;0.001
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="2" style="text-align:right">
Data: Respondents to both Wave 1 and Wave 2 (balanced panel).
</td>
</tr>
</table>
</div>
<div id="table-a11-outcome-generalized-trust" class="section level2">
<h2>Table A11: Outcome generalized trust</h2>
<pre class="r"><code># Lm models for comparison of intercepts
outcomes &lt;- c(&quot;trust.generalized.diff&quot;)
treatment &lt;- &quot;gdpr.know.num.diff&quot;


model.list &lt;- NULL
z &lt;- 1
for (i in outcomes) {
  
  # Construct models: Bivariate ####
  formula &lt;- paste(i, treatment, sep = &quot; ~ &quot;)
  model.object.name &lt;- paste(&quot;fit.lm.&quot;, i, &quot;.nocontrols&quot;, sep = &quot;&quot;)
  
  # Estimate bivariate PLM FD models
  assign(model.object.name, 
         lm(as.formula(formula),
               data = data.did)
         )

  # Store model results
  model.list[[z]] &lt;- get(ls()[str_detect(ls(), model.object.name)])
  names(model.list)[z] &lt;- model.object.name
  
  # Update counter
  z &lt;- z + 1

  
  # Construct models: With controls ####
  formula &lt;- paste(i, paste(c(treatment, controls), collapse = &quot; + &quot;), sep = &quot; ~ &quot;) # controls would need to be diffed as well
  model.object.name &lt;- paste(&quot;fit.lm.&quot;, i, &quot;.withcontrols&quot;, sep = &quot;&quot;)
  
  # Estimate LMs
  assign(model.object.name, 
         lm(as.formula(formula),
               data = data.did))

  model.list[[z]] &lt;- get(ls()[str_detect(ls(), model.object.name)])
  names(model.list)[z] &lt;-model.object.name

  z &lt;- z + 1
}


# Automatize generation of outcome labels
outcomes &lt;- str_replace_all(str_extract_all(names(model.list), &quot;\\.[a-z_]*\\.[a-z_]*\\.[a-z_]*$&quot;), &quot;\\.withcontrols|\\.nocontrols&quot;, &quot;&quot;)
outcomes &lt;- gsub(&quot;\\.&quot;, &quot; &quot;, outcomes)
outcomes &lt;- gsub(&quot;^\\s&quot;, &quot;&quot;, outcomes)
outcomes &lt;- gsub(&quot;(^|[[:space:]])([[:alpha:]])&quot;, &quot;\\1\\U\\2&quot;, outcomes, perl = TRUE)
outcomes &lt;- unique(outcomes)

stargazer(model.list,
  type = &quot;html&quot;,
  title = &quot;&quot;,
  omit.stat = c(&quot;LL&quot;, &quot;ser&quot;, &quot;f&quot;, &quot;adj.rsq&quot;),
  t.auto = T, p.auto = T,
  dep.var.caption = &quot;Generalized trust&quot;,
  dep.var.labels.include = FALSE,
  ci = FALSE,
  digits = 2,
  ci.level = 0.95,
  single.row = FALSE,
  label = &quot;tab:fe-within&quot;,
  table.placement = &quot;H&quot;,
  column.sep.width = &quot;-7pt&quot;,
  align = TRUE,
  # column.labels = c(
  #   &quot;Google&quot;,
  #   &quot;Facebook&quot;,
  #   &quot;Federal Stat. Office&quot;,
  #   &quot;Univ. Researchers&quot;
  # ),
  column.separate = c(2, 2, 2, 2, 2),
  model.names = FALSE,
  model.numbers = TRUE,
  star.cutoffs = c(0.05, 0.01, 0.001),
  notes = c(&quot;Data: Respondents to both Wave 1 and Wave 2 (balanced panel).&quot;),
  header = FALSE,
  no.space = TRUE,
  # covariate.labels = c(
  #   &quot;GDPR Awareness (0 = No Change, 1 = Positive Change)&quot;,
  #   &quot;Female&quot;,
  #   &quot;Age: 30-49 (ref.:&lt;30)&quot;,
  #   &quot;Age: &gt;=50 (ref.:&lt;30)&quot;,
  #   &quot;Education (ref. Hauptschule): Mittlere Reife&quot;,
  #   &quot;Education (ref. Hauptschule): Fachabitur&quot;,
  #   &quot;Education (ref. Hauptschule): Abitur&quot;,
  #   &quot;Privacy concern&quot;,
  #   &quot;Account Facebook: No, but before (ref.: Never)&quot;,
  #   &quot;Account Facebook: Yes (ref.: Never)&quot;,
  #   &quot;Account Google: No, but before (ref.: Never)&quot;,
  #   &quot;Account Google: Yes (ref.: Never)&quot;,
  #   &quot;Device: Smartphone&quot;,
  #   &quot;Device: Cell phone (no smartphone)&quot;,
  #   &quot;Device: Desktop/Laptop&quot;,
  #   &quot;Device: Tablet&quot;,
  #   &quot;Device: eReader&quot;,
  #   &quot;Generalized trust&quot;),
  font.size = &quot;tiny&quot;,
  out = &quot;./tableA11.html&quot;
)</code></pre>
<table style="text-align:center">
<tr>
<td colspan="3" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="2">
Generalized trust
</td>
</tr>
<tr>
<td>
</td>
<td colspan="2" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1)
</td>
<td>
(2)
</td>
</tr>
<tr>
<td colspan="3" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
gdpr.know.num.diff
</td>
<td>
0.08
</td>
<td>
0.26
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.14)
</td>
<td>
(0.13)
</td>
</tr>
<tr>
<td style="text-align:left">
female
</td>
<td>
</td>
<td>
0.07
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.13)
</td>
</tr>
<tr>
<td style="text-align:left">
age.cat.fac30to50
</td>
<td>
</td>
<td>
-0.01
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.21)
</td>
</tr>
<tr>
<td style="text-align:left">
age.cat.facabove50
</td>
<td>
</td>
<td>
0.15
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.21)
</td>
</tr>
<tr>
<td style="text-align:left">
school.educ.num4.factMittlere Reife
</td>
<td>
</td>
<td>
0.01
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.20)
</td>
</tr>
<tr>
<td style="text-align:left">
school.educ.num4.factFachhochschulreife
</td>
<td>
</td>
<td>
-0.39
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.26)
</td>
</tr>
<tr>
<td style="text-align:left">
school.educ.num4.factAbitur
</td>
<td>
</td>
<td>
0.27
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.21)
</td>
</tr>
<tr>
<td style="text-align:left">
privacy.worry.numeric
</td>
<td>
</td>
<td>
-0.03
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.09)
</td>
</tr>
<tr>
<td style="text-align:left">
account.facebook.facNo, but before
</td>
<td>
</td>
<td>
0.41
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.26)
</td>
</tr>
<tr>
<td style="text-align:left">
account.facebook.facYes
</td>
<td>
</td>
<td>
0.35<sup>*</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.17)
</td>
</tr>
<tr>
<td style="text-align:left">
account.google.facNo, but before
</td>
<td>
</td>
<td>
-0.29
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.34)
</td>
</tr>
<tr>
<td style="text-align:left">
account.google.facYes
</td>
<td>
</td>
<td>
0.13
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.17)
</td>
</tr>
<tr>
<td style="text-align:left">
device.smartphone.dummy
</td>
<td>
</td>
<td>
-0.08
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.21)
</td>
</tr>
<tr>
<td style="text-align:left">
device.handy.dummy
</td>
<td>
</td>
<td>
0.004
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.16)
</td>
</tr>
<tr>
<td style="text-align:left">
device.desktop.dummy
</td>
<td>
</td>
<td>
-0.36
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.37)
</td>
</tr>
<tr>
<td style="text-align:left">
device.tablet.dummy
</td>
<td>
</td>
<td>
0.04
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.14)
</td>
</tr>
<tr>
<td style="text-align:left">
device.ereader.dummy
</td>
<td>
</td>
<td>
0.28
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.16)
</td>
</tr>
<tr>
<td style="text-align:left">
trust.generalized
</td>
<td>
</td>
<td>
-0.45<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.03)
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
0.08
</td>
<td>
2.05<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.09)
</td>
<td>
(0.53)
</td>
</tr>
<tr>
<td colspan="3" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
1,183
</td>
<td>
1,103
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.0003
</td>
<td>
0.24
</td>
</tr>
<tr>
<td colspan="3" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="2" style="text-align:right">
<sup><em></sup>p&lt;0.05; <sup><strong></sup>p&lt;0.01; <sup></strong></em></sup>p&lt;0.001
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="2" style="text-align:right">
Data: Respondents to both Wave 1 and Wave 2 (balanced panel).
</td>
</tr>
</table>
</div>
<div id="digital-literacy-robustness" class="section level2">
<h2>Digital literacy robustness</h2>
<pre class="r"><code># Models that use number.devices rather the device dummies as control

treatment &lt;- &quot;gdpr.know.new&quot;
controls &lt;- c(&quot;female&quot;, &quot;age.cat.fac&quot;, &quot;school.educ.num4.fact&quot;, &quot;privacy.worry.numeric&quot;, &quot;account.facebook.fac&quot;, &quot;account.google.fac&quot;, &quot;number.devices&quot;, &quot;trust.generalized&quot;)


as.formula(paste(&quot;trust.google&quot;, paste(treatment, paste(controls, collapse = &quot; + &quot;), sep = &quot; + &quot;), sep = &quot; ~ &quot;))</code></pre>
<p>trust.google ~ gdpr.know.new + female + age.cat.fac + school.educ.num4.fact + privacy.worry.numeric + account.facebook.fac + account.google.fac + number.devices + trust.generalized</p>
<pre class="r"><code>tab1.trust.google.w1 &lt;- lm(trust.google ~ gdpr.know.new,
  subset = wave.num == 1,
  data = data
)
tab1.trust.facebook.w1 &lt;- lm(trust.facebook ~ gdpr.know.new,
  subset = wave.num == 1,
  data = data
)
tab1.trust.fedoffstats.w1 &lt;- lm(trust.fedoffstats ~ gdpr.know.new,
  subset = wave.num == 1,
  data = data
)
tab1.trust.researchers.w1 &lt;- lm(trust.researchers ~ gdpr.know.new,
  subset = wave.num == 1,
  data = data
)

tab1.trust.google.w1.full &lt;- lm(as.formula(paste(&quot;trust.google&quot;, paste(treatment, paste(controls, collapse = &quot; + &quot;), sep = &quot; + &quot;), sep = &quot; ~ &quot;)),
subset = wave.num == 1, data = data
)

tab1.trust.facebook.w1.full &lt;- lm(as.formula(paste(&quot;trust.facebook&quot;, paste(treatment, paste(controls, collapse = &quot; + &quot;), sep = &quot; + &quot;), sep = &quot; ~ &quot;)),
subset = wave.num == 1, data = data
)

tab1.trust.fedoffstats.w1.full &lt;- lm(as.formula(paste(&quot;trust.fedoffstats&quot;, paste(treatment, paste(controls, collapse = &quot; + &quot;), sep = &quot; + &quot;), sep = &quot; ~ &quot;)),
subset = wave.num == 1, data = data
)

tab1.trust.researchers.w1.full &lt;- lm( as.formula(paste(&quot;trust.researchers&quot;, paste(treatment, paste(controls, collapse = &quot; + &quot;), sep = &quot; + &quot;), sep = &quot; ~ &quot;)),
subset = wave.num == 1, data = data
)

stargazer(tab1.trust.google.w1, tab1.trust.google.w1.full,
  tab1.trust.facebook.w1, tab1.trust.facebook.w1.full,
  tab1.trust.fedoffstats.w1, tab1.trust.fedoffstats.w1.full,
  tab1.trust.researchers.w1, tab1.trust.researchers.w1.full,
  type = &quot;html&quot;,
  dep.var.labels.include = FALSE,
  title = &quot;&quot;,
  omit.stat = c(&quot;LL&quot;, &quot;ser&quot;, &quot;f&quot;, &quot;adj.rsq&quot;),
  t.auto = T, p.auto = T,
  dep.var.caption = &quot;Trust in organizations&quot;,
  # model.names = paste(&quot;(M&quot;, 1:8,&quot;)&quot;, sep=&quot;&quot;),
  ci = FALSE,
  digits = 2,
  ci.level = 0.95,
  single.row = FALSE,
  label = &quot;tab:pooled&quot;,
  table.placement = &quot;H&quot;,
  column.sep.width = &quot;-7pt&quot;,
  align = TRUE,
  column.labels = c(
    &quot;Google&quot;,
    &quot;Facebook&quot;,
    &quot;Federal Stat. Office&quot;,
    &quot;Univ. Researchers&quot;
  ),
  column.separate = c(2, 2, 2, 2),
  star.cutoffs = c(0.05, 0.01, 0.001),
  notes = c(&quot;Data: Respondents in Wave 1.&quot;),
  header = FALSE,
  no.space = TRUE,
  font.size = &quot;tiny&quot;,
  # covariate.labels = c(
  #   &quot;GDPR Awareness (No = 0, Yes = 1)&quot;,
  #   &quot;Female&quot;,
  #   &quot;Age: 30-49 (ref.:&lt;30)&quot;,
  #   &quot;Age: &gt;=50 (ref.:&lt;30)&quot;,
  #   &quot;Education (ref. Hauptschule): Mittlere Reife&quot;,
  #   &quot;Education (ref. Hauptschule): Fachabitur&quot;,
  #   &quot;Education (ref. Hauptschule): Abitur&quot;,
  #   &quot;Privacy concern&quot;,
  #   &quot;Account Facebook: No, but before (ref.: Never)&quot;,
  #   &quot;Account Facebook: Yes (ref.: Never)&quot;,
  #   &quot;Account Google: No, but before (ref.: Never)&quot;,
  #   &quot;Account Google: Yes (ref.: Never)&quot;,
  #   &quot;Device: Smartphone&quot;,
  #   &quot;Device: Cell phone (no smartphone)&quot;,
  #   &quot;Device: Desktop/Laptop&quot;,
  #   &quot;Device: Tablet&quot;,
  #   &quot;Device: eReader&quot;,
  #   &quot;Generalized trust&quot;
  # ),
  out = &quot;./tableA5-digital-literacy.html&quot;
)</code></pre>
<table style="text-align:center">
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
Trust in organizations
</td>
</tr>
<tr>
<td>
</td>
<td colspan="8" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="2">
Google
</td>
<td colspan="2">
Facebook
</td>
<td colspan="2">
Federal Stat. Office
</td>
<td colspan="2">
Univ. Researchers
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1)
</td>
<td>
(2)
</td>
<td>
(3)
</td>
<td>
(4)
</td>
<td>
(5)
</td>
<td>
(6)
</td>
<td>
(7)
</td>
<td>
(8)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
gdpr.know.new
</td>
<td>
-0.48<sup>**</sup>
</td>
<td>
-0.31
</td>
<td>
-0.58<sup>***</sup>
</td>
<td>
-0.40<sup>**</sup>
</td>
<td>
0.82<sup>***</sup>
</td>
<td>
0.63<sup>***</sup>
</td>
<td>
0.60<sup>***</sup>
</td>
<td>
0.34<sup>*</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.16)
</td>
<td>
(0.16)
</td>
<td>
(0.15)
</td>
<td>
(0.15)
</td>
<td>
(0.16)
</td>
<td>
(0.16)
</td>
<td>
(0.14)
</td>
<td>
(0.14)
</td>
</tr>
<tr>
<td style="text-align:left">
female
</td>
<td>
</td>
<td>
0.48<sup>***</sup>
</td>
<td>
</td>
<td>
0.37<sup>**</sup>
</td>
<td>
</td>
<td>
0.29<sup>*</sup>
</td>
<td>
</td>
<td>
0.25<sup>*</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.13)
</td>
<td>
</td>
<td>
(0.12)
</td>
<td>
</td>
<td>
(0.14)
</td>
<td>
</td>
<td>
(0.12)
</td>
</tr>
<tr>
<td style="text-align:left">
age.cat.fac30to50
</td>
<td>
</td>
<td>
-0.19
</td>
<td>
</td>
<td>
-0.04
</td>
<td>
</td>
<td>
-0.21
</td>
<td>
</td>
<td>
-0.64<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.19)
</td>
<td>
</td>
<td>
(0.18)
</td>
<td>
</td>
<td>
(0.19)
</td>
<td>
</td>
<td>
(0.17)
</td>
</tr>
<tr>
<td style="text-align:left">
age.cat.facabove50
</td>
<td>
</td>
<td>
-0.19
</td>
<td>
</td>
<td>
-0.11
</td>
<td>
</td>
<td>
-0.01
</td>
<td>
</td>
<td>
-0.40<sup>*</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.20)
</td>
<td>
</td>
<td>
(0.19)
</td>
<td>
</td>
<td>
(0.20)
</td>
<td>
</td>
<td>
(0.18)
</td>
</tr>
<tr>
<td style="text-align:left">
school.educ.num4.factMittlere Reife
</td>
<td>
</td>
<td>
-0.59<sup>**</sup>
</td>
<td>
</td>
<td>
-0.38
</td>
<td>
</td>
<td>
-0.33
</td>
<td>
</td>
<td>
0.03
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.22)
</td>
<td>
</td>
<td>
(0.20)
</td>
<td>
</td>
<td>
(0.22)
</td>
<td>
</td>
<td>
(0.20)
</td>
</tr>
<tr>
<td style="text-align:left">
school.educ.num4.factFachhochschulreife
</td>
<td>
</td>
<td>
-1.43<sup>***</sup>
</td>
<td>
</td>
<td>
-0.91<sup>***</sup>
</td>
<td>
</td>
<td>
-0.41
</td>
<td>
</td>
<td>
0.07
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.27)
</td>
<td>
</td>
<td>
(0.25)
</td>
<td>
</td>
<td>
(0.27)
</td>
<td>
</td>
<td>
(0.24)
</td>
</tr>
<tr>
<td style="text-align:left">
school.educ.num4.factAbitur
</td>
<td>
</td>
<td>
-1.53<sup>***</sup>
</td>
<td>
</td>
<td>
-1.21<sup>***</sup>
</td>
<td>
</td>
<td>
0.14
</td>
<td>
</td>
<td>
0.66<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.22)
</td>
<td>
</td>
<td>
(0.21)
</td>
<td>
</td>
<td>
(0.23)
</td>
<td>
</td>
<td>
(0.20)
</td>
</tr>
<tr>
<td style="text-align:left">
privacy.worry.numeric
</td>
<td>
</td>
<td>
-0.58<sup>***</sup>
</td>
<td>
</td>
<td>
-0.37<sup>***</sup>
</td>
<td>
</td>
<td>
-0.52<sup>***</sup>
</td>
<td>
</td>
<td>
-0.41<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.09)
</td>
<td>
</td>
<td>
(0.09)
</td>
<td>
</td>
<td>
(0.10)
</td>
<td>
</td>
<td>
(0.08)
</td>
</tr>
<tr>
<td style="text-align:left">
account.facebook.facNo, but before
</td>
<td>
</td>
<td>
-0.13
</td>
<td>
</td>
<td>
0.06
</td>
<td>
</td>
<td>
0.10
</td>
<td>
</td>
<td>
0.08
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.27)
</td>
<td>
</td>
<td>
(0.25)
</td>
<td>
</td>
<td>
(0.28)
</td>
<td>
</td>
<td>
(0.25)
</td>
</tr>
<tr>
<td style="text-align:left">
account.facebook.facYes
</td>
<td>
</td>
<td>
0.37<sup>*</sup>
</td>
<td>
</td>
<td>
1.17<sup>***</sup>
</td>
<td>
</td>
<td>
0.09
</td>
<td>
</td>
<td>
0.03
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.17)
</td>
<td>
</td>
<td>
(0.16)
</td>
<td>
</td>
<td>
(0.18)
</td>
<td>
</td>
<td>
(0.16)
</td>
</tr>
<tr>
<td style="text-align:left">
account.google.facNo, but before
</td>
<td>
</td>
<td>
0.24
</td>
<td>
</td>
<td>
0.43
</td>
<td>
</td>
<td>
0.33
</td>
<td>
</td>
<td>
-0.26
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.34)
</td>
<td>
</td>
<td>
(0.31)
</td>
<td>
</td>
<td>
(0.34)
</td>
<td>
</td>
<td>
(0.30)
</td>
</tr>
<tr>
<td style="text-align:left">
account.google.facYes
</td>
<td>
</td>
<td>
0.45<sup>**</sup>
</td>
<td>
</td>
<td>
-0.02
</td>
<td>
</td>
<td>
0.22
</td>
<td>
</td>
<td>
0.36<sup>*</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.17)
</td>
<td>
</td>
<td>
(0.15)
</td>
<td>
</td>
<td>
(0.17)
</td>
<td>
</td>
<td>
(0.15)
</td>
</tr>
<tr>
<td style="text-align:left">
number.devices
</td>
<td>
</td>
<td>
0.19<sup>*</sup>
</td>
<td>
</td>
<td>
0.20<sup>**</sup>
</td>
<td>
</td>
<td>
0.09
</td>
<td>
</td>
<td>
-0.09
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.08)
</td>
<td>
</td>
<td>
(0.07)
</td>
<td>
</td>
<td>
(0.08)
</td>
<td>
</td>
<td>
(0.07)
</td>
</tr>
<tr>
<td style="text-align:left">
trust.generalized
</td>
<td>
</td>
<td>
0.16<sup>***</sup>
</td>
<td>
</td>
<td>
0.12<sup>***</sup>
</td>
<td>
</td>
<td>
0.27<sup>***</sup>
</td>
<td>
</td>
<td>
0.28<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.03)
</td>
<td>
</td>
<td>
(0.02)
</td>
<td>
</td>
<td>
(0.03)
</td>
<td>
</td>
<td>
(0.02)
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
3.44<sup>***</sup>
</td>
<td>
3.37<sup>***</sup>
</td>
<td>
2.31<sup>***</sup>
</td>
<td>
1.50<sup>***</sup>
</td>
<td>
5.65<sup>***</sup>
</td>
<td>
4.88<sup>***</sup>
</td>
<td>
6.06<sup>***</sup>
</td>
<td>
5.51<sup>***</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.08)
</td>
<td>
(0.42)
</td>
<td>
(0.07)
</td>
<td>
(0.39)
</td>
<td>
(0.08)
</td>
<td>
(0.43)
</td>
<td>
(0.07)
</td>
<td>
(0.38)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
2,052
</td>
<td>
1,890
</td>
<td>
2,058
</td>
<td>
1,896
</td>
<td>
2,059
</td>
<td>
1,897
</td>
<td>
2,058
</td>
<td>
1,896
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.004
</td>
<td>
0.10
</td>
<td>
0.01
</td>
<td>
0.11
</td>
<td>
0.01
</td>
<td>
0.11
</td>
<td>
0.01
</td>
<td>
0.13
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="8" style="text-align:right">
<sup><em></sup>p&lt;0.05; <sup><strong></sup>p&lt;0.01; <sup></strong></em></sup>p&lt;0.001
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8" style="text-align:right">
Data: Respondents in Wave 1.
</td>
</tr>
</table>
<pre class="r"><code># Models that use number.devices rather the device dummies as control


# Lm models for comparison of intercepts
outcomes &lt;- c(&quot;trust.google.diff&quot;, &quot;trust.facebook.diff&quot;, &quot;trust.fedoffstats.diff&quot;, &quot;trust.researchers.diff&quot;)
treatment &lt;- &quot;gdpr.know.num.diff&quot;


model.list &lt;- NULL
z &lt;- 1
for (i in outcomes) {
  
  # Construct models: Bivariate ####
  formula &lt;- paste(i, treatment, sep = &quot; ~ &quot;)
  model.object.name &lt;- paste(&quot;fit.lm.&quot;, i, &quot;.nocontrols&quot;, sep = &quot;&quot;)
  
  # Estimate bivariate PLM FD models
  assign(model.object.name, 
         lm(as.formula(formula),
               data = data.did)
         )

  # Store model results
  model.list[[z]] &lt;- get(ls()[str_detect(ls(), model.object.name)])
  names(model.list)[z] &lt;- model.object.name
  
  # Update counter
  z &lt;- z + 1

  
  # Construct models: With controls ####
  formula &lt;- paste(i, paste(c(treatment, controls), collapse = &quot; + &quot;), sep = &quot; ~ &quot;) # controls would need to be diffed as well
  model.object.name &lt;- paste(&quot;fit.lm.&quot;, i, &quot;.withcontrols&quot;, sep = &quot;&quot;)
  
  # Estimate LMs
  assign(model.object.name, 
         lm(as.formula(formula),
               data = data.did))

  model.list[[z]] &lt;- get(ls()[str_detect(ls(), model.object.name)])
  names(model.list)[z] &lt;-model.object.name

  z &lt;- z + 1
}


# Automatize generation of outcome labels
outcomes &lt;- str_replace_all(str_extract_all(names(model.list), &quot;\\.[a-z_]*\\.[a-z_]*\\.[a-z_]*$&quot;), &quot;\\.withcontrols|\\.nocontrols&quot;, &quot;&quot;)
outcomes &lt;- gsub(&quot;\\.&quot;, &quot; &quot;, outcomes)
outcomes &lt;- gsub(&quot;^\\s&quot;, &quot;&quot;, outcomes)
outcomes &lt;- gsub(&quot;(^|[[:space:]])([[:alpha:]])&quot;, &quot;\\1\\U\\2&quot;, outcomes, perl = TRUE)
outcomes &lt;- unique(outcomes)

stargazer(model.list,
  type = &quot;html&quot;,
  title = &quot;&quot;,
  omit.stat = c(&quot;LL&quot;, &quot;ser&quot;, &quot;f&quot;, &quot;adj.rsq&quot;),
  t.auto = T, p.auto = T,
  dep.var.caption = &quot;Trust in organizations&quot;,
  dep.var.labels.include = FALSE,
  ci = FALSE,
  digits = 2,
  ci.level = 0.95,
  single.row = FALSE,
  label = &quot;tab:fe-within&quot;,
  table.placement = &quot;H&quot;,
  column.sep.width = &quot;-7pt&quot;,
  align = TRUE,
  column.labels = c(
    &quot;Google&quot;,
    &quot;Facebook&quot;,
    &quot;Federal Stat. Office&quot;,
    &quot;Univ. Researchers&quot;
  ),
  column.separate = c(2, 2, 2, 2, 2),
  model.names = FALSE,
  model.numbers = TRUE,
  star.cutoffs = c(0.05, 0.01, 0.001),
  notes = c(&quot;Data: Respondents to both Wave 1 and Wave 2 (balanced panel).&quot;),
  header = FALSE,
  no.space = TRUE,
  # covariate.labels = c(
  #   &quot;GDPR Awareness (0 = No Change, 1 = Positive Change)&quot;,
  #   &quot;Female&quot;,
  #   &quot;Age: 30-49 (ref.:&lt;30)&quot;,
  #   &quot;Age: &gt;=50 (ref.:&lt;30)&quot;,
  #   &quot;Education (ref. Hauptschule): Mittlere Reife&quot;,
  #   &quot;Education (ref. Hauptschule): Fachabitur&quot;,
  #   &quot;Education (ref. Hauptschule): Abitur&quot;,
  #   &quot;Privacy concern&quot;,
  #   &quot;Account Facebook: No, but before (ref.: Never)&quot;,
  #   &quot;Account Facebook: Yes (ref.: Never)&quot;,
  #   &quot;Account Google: No, but before (ref.: Never)&quot;,
  #   &quot;Account Google: Yes (ref.: Never)&quot;,
  #   &quot;Device: Smartphone&quot;,
  #   &quot;Device: Cell phone (no smartphone)&quot;,
  #   &quot;Device: Desktop/Laptop&quot;,
  #   &quot;Device: Tablet&quot;,
  #   &quot;Device: eReader&quot;,
  #   &quot;Generalized trust&quot;),
  font.size = &quot;tiny&quot;,
  out = &quot;./tableA6-digital-literacy.html&quot;
)</code></pre>
<table style="text-align:center">
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8">
Trust in organizations
</td>
</tr>
<tr>
<td>
</td>
<td colspan="8" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="2">
Google
</td>
<td colspan="2">
Facebook
</td>
<td colspan="2">
Federal Stat. Office
</td>
<td colspan="2">
Univ. Researchers
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(1)
</td>
<td>
(2)
</td>
<td>
(3)
</td>
<td>
(4)
</td>
<td>
(5)
</td>
<td>
(6)
</td>
<td>
(7)
</td>
<td>
(8)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
gdpr.know.num.diff
</td>
<td>
0.19
</td>
<td>
0.17
</td>
<td>
-0.03
</td>
<td>
-0.07
</td>
<td>
0.02
</td>
<td>
-0.06
</td>
<td>
0.18
</td>
<td>
0.25
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.17)
</td>
<td>
(0.18)
</td>
<td>
(0.16)
</td>
<td>
(0.17)
</td>
<td>
(0.18)
</td>
<td>
(0.19)
</td>
<td>
(0.17)
</td>
<td>
(0.17)
</td>
</tr>
<tr>
<td style="text-align:left">
female
</td>
<td>
</td>
<td>
0.02
</td>
<td>
</td>
<td>
-0.15
</td>
<td>
</td>
<td>
-0.34
</td>
<td>
</td>
<td>
-0.37<sup>*</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.17)
</td>
<td>
</td>
<td>
(0.17)
</td>
<td>
</td>
<td>
(0.19)
</td>
<td>
</td>
<td>
(0.17)
</td>
</tr>
<tr>
<td style="text-align:left">
age.cat.fac30to50
</td>
<td>
</td>
<td>
0.22
</td>
<td>
</td>
<td>
0.28
</td>
<td>
</td>
<td>
0.26
</td>
<td>
</td>
<td>
0.33
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.27)
</td>
<td>
</td>
<td>
(0.27)
</td>
<td>
</td>
<td>
(0.30)
</td>
<td>
</td>
<td>
(0.27)
</td>
</tr>
<tr>
<td style="text-align:left">
age.cat.facabove50
</td>
<td>
</td>
<td>
0.11
</td>
<td>
</td>
<td>
-0.02
</td>
<td>
</td>
<td>
0.37
</td>
<td>
</td>
<td>
0.28
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.28)
</td>
<td>
</td>
<td>
(0.28)
</td>
<td>
</td>
<td>
(0.31)
</td>
<td>
</td>
<td>
(0.28)
</td>
</tr>
<tr>
<td style="text-align:left">
school.educ.num4.factMittlere Reife
</td>
<td>
</td>
<td>
-0.09
</td>
<td>
</td>
<td>
0.03
</td>
<td>
</td>
<td>
0.52
</td>
<td>
</td>
<td>
0.19
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.26)
</td>
<td>
</td>
<td>
(0.26)
</td>
<td>
</td>
<td>
(0.29)
</td>
<td>
</td>
<td>
(0.26)
</td>
</tr>
<tr>
<td style="text-align:left">
school.educ.num4.factFachhochschulreife
</td>
<td>
</td>
<td>
0.30
</td>
<td>
</td>
<td>
0.17
</td>
<td>
</td>
<td>
0.44
</td>
<td>
</td>
<td>
-0.18
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.34)
</td>
<td>
</td>
<td>
(0.34)
</td>
<td>
</td>
<td>
(0.37)
</td>
<td>
</td>
<td>
(0.34)
</td>
</tr>
<tr>
<td style="text-align:left">
school.educ.num4.factAbitur
</td>
<td>
</td>
<td>
0.11
</td>
<td>
</td>
<td>
-0.0003
</td>
<td>
</td>
<td>
0.59
</td>
<td>
</td>
<td>
0.09
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.28)
</td>
<td>
</td>
<td>
(0.27)
</td>
<td>
</td>
<td>
(0.31)
</td>
<td>
</td>
<td>
(0.27)
</td>
</tr>
<tr>
<td style="text-align:left">
privacy.worry.numeric
</td>
<td>
</td>
<td>
0.22
</td>
<td>
</td>
<td>
0.04
</td>
<td>
</td>
<td>
0.13
</td>
<td>
</td>
<td>
0.28<sup>*</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.12)
</td>
<td>
</td>
<td>
(0.12)
</td>
<td>
</td>
<td>
(0.13)
</td>
<td>
</td>
<td>
(0.12)
</td>
</tr>
<tr>
<td style="text-align:left">
account.facebook.facNo, but before
</td>
<td>
</td>
<td>
-0.35
</td>
<td>
</td>
<td>
-0.03
</td>
<td>
</td>
<td>
0.12
</td>
<td>
</td>
<td>
-0.15
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.35)
</td>
<td>
</td>
<td>
(0.34)
</td>
<td>
</td>
<td>
(0.38)
</td>
<td>
</td>
<td>
(0.35)
</td>
</tr>
<tr>
<td style="text-align:left">
account.facebook.facYes
</td>
<td>
</td>
<td>
-0.03
</td>
<td>
</td>
<td>
0.26
</td>
<td>
</td>
<td>
0.30
</td>
<td>
</td>
<td>
0.38
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.22)
</td>
<td>
</td>
<td>
(0.22)
</td>
<td>
</td>
<td>
(0.24)
</td>
<td>
</td>
<td>
(0.22)
</td>
</tr>
<tr>
<td style="text-align:left">
account.google.facNo, but before
</td>
<td>
</td>
<td>
0.22
</td>
<td>
</td>
<td>
0.26
</td>
<td>
</td>
<td>
0.10
</td>
<td>
</td>
<td>
0.06
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.45)
</td>
<td>
</td>
<td>
(0.44)
</td>
<td>
</td>
<td>
(0.49)
</td>
<td>
</td>
<td>
(0.44)
</td>
</tr>
<tr>
<td style="text-align:left">
account.google.facYes
</td>
<td>
</td>
<td>
0.29
</td>
<td>
</td>
<td>
0.10
</td>
<td>
</td>
<td>
0.04
</td>
<td>
</td>
<td>
-0.51<sup>*</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.21)
</td>
<td>
</td>
<td>
(0.21)
</td>
<td>
</td>
<td>
(0.23)
</td>
<td>
</td>
<td>
(0.21)
</td>
</tr>
<tr>
<td style="text-align:left">
number.devices
</td>
<td>
</td>
<td>
-0.03
</td>
<td>
</td>
<td>
0.003
</td>
<td>
</td>
<td>
0.04
</td>
<td>
</td>
<td>
0.28<sup>**</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.10)
</td>
<td>
</td>
<td>
(0.10)
</td>
<td>
</td>
<td>
(0.11)
</td>
<td>
</td>
<td>
(0.10)
</td>
</tr>
<tr>
<td style="text-align:left">
trust.generalized
</td>
<td>
</td>
<td>
-0.03
</td>
<td>
</td>
<td>
-0.01
</td>
<td>
</td>
<td>
0.02
</td>
<td>
</td>
<td>
-0.07<sup>*</sup>
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
</td>
<td>
(0.03)
</td>
<td>
</td>
<td>
(0.03)
</td>
<td>
</td>
<td>
(0.04)
</td>
<td>
</td>
<td>
(0.03)
</td>
</tr>
<tr>
<td style="text-align:left">
Constant
</td>
<td>
0.03
</td>
<td>
-0.39
</td>
<td>
0.23<sup>*</sup>
</td>
<td>
-0.08
</td>
<td>
0.13
</td>
<td>
-1.04
</td>
<td>
0.18
</td>
<td>
-0.85
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td>
(0.11)
</td>
<td>
(0.55)
</td>
<td>
(0.10)
</td>
<td>
(0.54)
</td>
<td>
(0.12)
</td>
<td>
(0.60)
</td>
<td>
(0.11)
</td>
<td>
(0.54)
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
Observations
</td>
<td>
1,170
</td>
<td>
1,088
</td>
<td>
1,181
</td>
<td>
1,099
</td>
<td>
1,177
</td>
<td>
1,095
</td>
<td>
1,174
</td>
<td>
1,093
</td>
</tr>
<tr>
<td style="text-align:left">
R<sup>2</sup>
</td>
<td>
0.001
</td>
<td>
0.01
</td>
<td>
0.0000
</td>
<td>
0.01
</td>
<td>
0.0000
</td>
<td>
0.01
</td>
<td>
0.001
</td>
<td>
0.03
</td>
</tr>
<tr>
<td colspan="9" style="border-bottom: 1px solid black">
</td>
</tr>
<tr>
<td style="text-align:left">
<em>Note:</em>
</td>
<td colspan="8" style="text-align:right">
<sup><em></sup>p&lt;0.05; <sup><strong></sup>p&lt;0.01; <sup></strong></em></sup>p&lt;0.001
</td>
</tr>
<tr>
<td style="text-align:left">
</td>
<td colspan="8" style="text-align:right">
Data: Respondents to both Wave 1 and Wave 2 (balanced panel).
</td>
</tr>
</table>
</div>
<div id="stuff-not-in-the-paper" class="section level2">
<h2>Stuff not in the paper</h2>
</div>
<div id="stats-changetrend-in-treatmentcontrol-group-for-trust-outcomes" class="section level2">
<h2>Stats: Change/trend in treatment/control group for trust outcomes</h2>
<p>Calculate the mean change/trend for respondents in the control group (0 -&gt; 0) and respondents in the treatment group (0 -&gt; 1).</p>
<p>The table below displays changes both in treated and control units. Important, this is the raw difference in the average change between the two groups (no controls etc.). The trend difference, e.g. for trust.facebook between treatment/control should equal the naive estimate of the first differences model (table2-fd.html). It does not and that’s strange… (check)</p>
<pre class="r"><code>table(data.w1w2$gdpr.know.num.diff)</code></pre>
<pre><code>## 
##   0   1 
## 717 470</code></pre>
<pre class="r"><code>table &lt;- data.w1w2 %&gt;%
  group_by(gdpr.know.num.diff) %&gt;%
  select(
    trust.google.diff,
    trust.facebook.diff,
    trust.researchers.diff,
    trust.fedoffstats.diff
  ) %&gt;%
  summarise_all(funs(round(mean(., na.rm = TRUE), 4), n = n())) %&gt;%
  na.omit() %&gt;%
  select(1, 6, 2:5) %&gt;% rename(&quot;n_wo_NA&quot; = &quot;trust.google.diff_n&quot;,
                               &quot;group&quot; = &quot;gdpr.know.num.diff&quot;)</code></pre>
<pre><code>## Adding missing grouping variables: `gdpr.know.num.diff`</code></pre>
<pre class="r"><code>  table$group &lt;- recode(table$group, &quot;0&quot; = &quot;control (0)&quot;, &quot;1&quot; = &quot;treatment (1)&quot;)

difference &lt;- table[2, 2:6] - table[1, 2:6]
difference &lt;- c(&quot;difference&quot;, as.numeric(difference[1, ]))
table &lt;- rbind(table, difference)
table &lt;- kable(table,
  row.names = FALSE,
  caption = &quot;Change (Wave 1 to Wave 2) in treatment and control groups (0-&gt;0 vs. 0-&gt;1)&quot;, format = &quot;html&quot;, booktabs = T
) %&gt;%
  kable_styling(full_width = T, font_size = 12)

save_kable(table, &quot;Table - Change in treatment and control - Manual.html&quot;, self_contained = TRUE)</code></pre>
</div>
<div id="low-trust-subsets" class="section level2">
<h2>Low trust subsets</h2>
<p>Generate subsets of the dataset.</p>
<p>Estimate models looping over datasets.</p>
</div>
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